Centre for Agricultural Bioinformatics

Dr. Anil Rai
Head(A)
Phone (O).: 91-11-25841721
anil.rai@icar.gov.in

About Us

Bioinformatics aims to bring the biologists, statisticians and computer scientists together from the point of view of system biology approach to understand the biological phenomenon through innovative applications of statistics and computer science. It entails the creation of advanced databases, algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data. The field of Bioinformatics focuses on developing and applying computationally intensive techniques (e.g., pattern recognition, data mining, machine learning algorithms, and visualization) on biological data, which gives the opportunity to quickly and efficiently study heap of genomic information, chemical structure, and functional, structural and evolutionary relatedness of molecular, cell, species and organism. Bioinformatics has already started showing its profound impact on agricultural research and development globally.

Therefore, Indian Council of Agricultural Research (ICAR) New Delhi has established Centre for Agricultural Bioinformatics (CABin) with a team of multi-disciplinary research professionals as a division at Indian Agricultural Statistics Research Institute, New Delhi. The mission of this Centre is to provide computational support to biotechnological research in agriculture. Under the aegis of this Centre, a National Agricultural Bioinformatics Grid (NABG) has been established in the country. In this grid, the first supercomputing hub for Indian Agriculture i.e. Advanced Supercomputing Hub for OMICS Knowledge in Agriculture – ASHOKA has been set up. This facility is built in a state-of-art Data Centre and out of nine super-computers of this grid, two super-computers are ranked at 11th and 24th in the list of top super-computers of India by Indian Institute of Sciences, Bangalore. This facility was dedicated to the Nation by Honourable Union Minster of Agriculture and Food Processing Industries on January 15, 2014.

In order to provide access to this advanced computing facility to researchers, a National Bio-Computing Portal has been launched through which authenticated users will be able to perform their biological data analysis. This portal consists of number of computational biology and agricultural bioinformatics software/workflow/pipelines which will be able to automate routine biological analytics in seamless manner. Also, a Genome Submission Portal is being developed to assist our researchers for submission of their genomic data sets obtained through experimentations.

Mandate

  • To undertake research, teaching and training in the field of computational biology and agricultural bioinformatics.

Thrust Area

  • To undertake research in priority areas of computational biology and agricultural bioinformatics.
  • To design, development and implement biological databases and data warehouse.
  • To develop human resources in computational biology and agricultural bioinformatics.
  • To provide analytical and computational support to research in the field of computational biology and agricultural bioinformatics.
  • To create and promote inter-disciplinary research groups with focus on computational biology and agricultural bioinformatics.

Ongoing

  • Institute funded
SL. NO.PROJECT NAMEPROJECT TEAM
1Development of an Improved Hybrid De-novo Whole Genome Assembler.Dr.S.B.Lal*, Anu Sharma ,Sanjeev Kumar,Neeraj Budhlakoti, Dr.D.C. Mishra ICAR-IASRI, New Delhi.
2Non Linear Modelling For Genomic Predictions Based on Multiple Traits.Neeraj Budhlakoti*, Dr.D.C. Mishra, Dr.S.B.LalICAR-IASRI, New Delhi.
3Platform or Integrated Genomics Warehouse.K.K.Chaturvedi, (PI), D. C. Mishra, S.B. Lal, M.S. Farooqi, Sanjeev Kumar ICAR-IASRI, New Delhi.
4Computational and experimental biology approaches for delineation of selected secondary metabolite pathways and antimicrobial peptides (AMPs) in major spices (A sub-project under CABin Scheme in collaboration with ICAR-IISR, Kozhikode) ICAR-IISR: Johnson George K*, P.Umadevi, PI, Saji K.V. Sharon Aravind ICAR-IASRI: U. B. Angadi*, Dinesh Kumar, M. A. Iquebal, Sarika
5Genomic data analysis to elucidate the regulatory network and candidate genes underlying cytoplasmic male sterility in pigeonpea (A sub-project under CABin Scheme in collaboration with ICAR-IIPR, Kanpur)ICAR-IIPR: Abhishek Bohra* ICAR-IASRI: M. A. Iquebal*, Dinesh Kumar, Sarika, U. B. Angadi,
6Computational approach for genomic resource improvement and precision phenotyping of less explored yield traits in wheat (A sub-project under CABin Scheme in collaboration with ICAR-IIWBR, Karnal)ICAR-IIWBR: Ratan Tiwari*, Pradeep Sharma, Rajender Singh, Sonia Sheoran, ICAR-IASRI: Dinesh Kumar*, M. A. Iquebal, Sarika, U. B. Angadi, ICAR-IASRI, New Delhi.
7Deciphering genetic variation in the carbohydrate metabolism of farmed rohu families. (A sub-project under CABin Scheme in collaboration with ICAR-CIFA, Bhubaneshwar)ICAR-CIFA: J. K. Sundaray*, S. Nandi, P. K. Mehar, L. Sahoo, Kiran D. Rasal, P. Nandanpawar, U. K. Udit ICAR-IASRI: Sarika*, Dinesh Kumar, M. A. Iquebal, U. B. Angadi, ICAR-IASRI, New Delhi
8Investigations on pathogenic microorganisms of shrimp aquaculture using metagenomic and other bioinformatic approaches (A sub-project under CABin Scheme in collaboration with ICAR-CIBA, Chennai)ICAR-CIBA: Ashok kumar Jangam*, S.V. Alavandi, K. Vinaya Kumar, B. Sivamani, Satheesha Avunje ICAR-IASRI: Monendra Grover*
9Investigations on stipe rust-defence response, identification of defence genes/QTLs associated with rust resistance in Wheat (A sub-project under CABin Scheme in collaboration with ICAR-NBPGR, New Delhi)ICAR-NBPGR: Sundeep Kumar, Amit Singh ICAR-IASRI: Monendra Grover, D.C. Mishra, Neeraj Budhlakoti
10Gene Regulatory Networks Modeling For Heat Stress Responses of Source and Sink for Development of Climate Smart Wheat (A sub-project under CABin Scheme in collaboration with ICAR-IARI, New Delhi)ICAR-IARI: C Viswanathan, R R Kumar, Suneha Goswami, P K Singh, Neelu Jain ICAR-IASRI: Dwijesh Chandra Mishra, Monendra Grover, Sanjeev Kumar, K K Chaturvedi
11RiceMetaSys: Understanding of Rice Gene Network for Biotic and Abiotic Stress Management through System Biology Approach (A sub-project under CABin Scheme in collaboration with ICAR-NRCPB, New Delhi)ICAR-NRCPB: Amol Kumar U. Solanke*, Amitha SV Mithra ICAR-IASRI: Dwijesh Chandra Mishra*, KK Chaturvedi
12Development of web server for phenotype and genotype analysis for cattle breeding management (Inter-Institutional Project in Collaboration with ICAR-CIRC, Meerut)ICAR-CIRC: Umesh Singh, Sushil Kumar, A.K. Das, T V Raja, Rani Alex ICAR-IASRI: U. B. Angadi*, Dinesh Kumar, M. A. Iquebal, Sarika
  • Externally funded
SL. NO.PROJECT NAMEFUNDING AGENCYPROJECT TEAM
1Phenomics of Moisture Deficit Stress Tolerance and Nitrogen Use Efficiency in Rice and Wheat – Phase II.National Agricultural Science Funded , New Delhi.Dr. Anil Rai*, Dr.A.R.Rao,Sanjeev ICAR-IASRI, New Delhi
2Potential gene mining from salt tolerant grasses for improvement of salt tolerance in crops.National Agricultural Science Funded(NASF) , New Delhi.Dr. Monendra Grover*, Associates Dr. D.C.Mishra ICAR-IASRI, New Delhi
3Creating a fully Characterized Genetic Resource Pipeline for Mustard Improvement programme in India.National Agricultural Science Funded , New Delhi.Dr.A.R.Rao*, Dr.Cini Varghese, Dr.P.K.Meher ICAR-IASRI, New Delhi
4Elucidating the mechanism of Pashmina fibre development: An OMICS approach.National Agricultural Science Fund (NASF) .Nazir A Ganai, SKUAST and Jai K Kaushik, NDRI, Karnal and  A.R.Rao, and P.K.Meher, ICAR-IASRI, New Delhi.
5ICAR Consortium Research Platform on Genomics project entitled “Computational and Analytical Solutions for High-throughput Biological Data”.ICAR Consortium Research Platform on Genomics.Anil Rai, A.R. Rao, M. Grover, K. K. Chaturvedi, Sanjeev Kumar, D.C. Mishra, ICAR-IASRI, New Delhi.
6ICAR Network Project on Functional Genomics and Genetic Modification (Earlier ICAR Network Project on Transgenic in Crops (Sub-Scheme of NRCPB, New Delhi)ICAR-Indian Council of Agricultural Research.M. A. Iquebal*, Sarika, Dinesh Kumar, Anil Rai ICAR-IASRI, New Delhi.
7Genome and transcriptome sequencing of coriander (Coriandrum sativum) to reveal insight of its genomic architecture and breeding targetsFunded by GSBMJAU, Junagadh: R.S. Tomar, M. V. Parakhia, Mrs. Shradda B. Bhatt
8Improving the usability of buffalo spermatozoa by sprm surface remodelling and immune acceptance in female reproductive tractNASF, ICAR, New DelhiICAR-NDRI, Karnal: Dr. T.K. Datta, ICAR-IASRI, New Delhi: Sarika, Dinesh Kumar, M. A. Iquebal

Completed

  • Institute funded
SL. NO.PROJECT NAMEPROJECT TEAM
1Development of a Tool for Comparison of Protein 3D Structure using graph theoretic approach.U.B. Angadi*, K.K. Chaturvedi, M. Grover, Sudhir Srivastava, ICAR-IASRI, New Delhi
2Multilabel functional classification of abiotic stress related proteins in Poaceae.M. Grover*, U.B. Angadi, Sudhir Srivastava, ICAR-IASRI, New Delhi
3Knowledge Data Warehouse for Agricultural ResearchAnil Rai*, P.K. Malhotra, Seema Jaggi, K.K. Chaturvedi, Prachi Misra Sahoo, Md. Samir Farooqi, ICAR-IASRI, New Delhi
4Software for Survey Data Analysis 2.0S.B. Lal*, Anu Sharma, V.K. Mahajan , ICAR-IASRI, New Delhi
5Development of Gender Information System for Agriculture  (Collaboration with Directorate of Research for Women in Agriculture, Bhubneshwar)H.K. Dash, M. Srinath, Sabita Mishra,  ICAR-DRWA, Kernal and S.B. Lal*, Anu Sharma, Anil Rai, ICAR-IASRI, New Delhi.
6Study of Synonymous Codon Usage and its Relation with Gene Expressivity in Halophilic Bacteria D.P. Singh, K.K. Meena, ICAR-NABIM, Mau and Md. Samir Farooqi*, D.C. Mishra, ICAR-IASRI, New Delhi.
7Web Based Software for Codon Usage Analysis for Gene Expression IdentificationAnu Sharma*, S.B. Lal, D.C. Mishra, ICAR-IASRI, New Delhi
8Forecasting Models using Functional Data Analysis and Nonlinear Support Vector Regression TechniquesM.A. Iquebal*, Prajneshu ,  ICAR-IASRI, New Delhi
9Analysis and Determination of Antimicrobial Peptides: A Machine Learning ApproachSarika*, M.A. Iquebal,  ICAR-IASRI, New Delhi
10Algorithm for Gene Classification based on Gene Expression DataD.C. Mishra*, Sanjeev Kumar,  ICAR-IASRI, New Delhi
11In Silico Identification of Abiotic Stress (salinity) Responsive Transcription Factors and their cis-regulatory elements in GrapeAnuradha Upadhyay, Ajay Kumar Upadhyay, ICAR-NRC for Grapes, Pune and  Sarika* , ICAR-IASRI, New Delhi
12Parallelized Workflows for Gene Prediction, Hylogenetic Analysis and Primer DesigningS.B. Lal*, Anu Sharma, Sarika, ICAR-IASRI, New Delhi
13Methodology for Protein Structure Comparison and its Web ImplemantationSudhir Srivastava*, M.N.V. Prasad Gajula (upto 31.03.2014), D.C. Mishra , S. B. Lal , ICAR-IASRI, New Delhi (w.e.f. 04.04.2014)
14Development of 16s rDNA rumen microbes specific database.M. Bagath, Atul Kolte NIANP and  U.B. Angadi*ICAR-IASRI, New Delhi.
15Refinement of livestock feed resources and development of Database and information system.Soumitra Jash, S. Anandan, U.B. Angadi* ICAR-IASRI, New Delhi.
16Genomic data analysis for identification of economically important markers and viral diagnostics in pulses.Abhishek Bohra, Khela Ram Soren, Mohd. Akram,ICAR-IIPR, Kanpur and M. A. Iquebal,  Dinesh Kumar, Sarika, U. B. Angadi, ICAR-IASRI, New Delhi.
17Molecular and computational approach to delineate metabolic pathways for better carbohydrate utilization in Labeo spp.J. K. Sundaray, S. Nandi, P. K. Mehar, L. Sahoo, Kiran D. Rasal, P. Nandanpawar,  U. K. Udit, ICAR-CIFA, Bhubaneshwar  and Sarika, Dinesh Kumar, M. A. Iquebal, U. B. Angadi,  ICAR-IASRI, New Delhi
18Computational approach for harnessing genome information and its integration with wheat phenome for efficient varietal development.Ratan Tiwari, Pradeep Sharma, Rajender Singh,  Sonia Sheoran, ICAR-IIWBR, Kernal and Dinesh Kumar,  M. A. Iquebal, Sarika, U. B. Angadi , ICAR-IASRI, New Delhi.
19Mining and validation of candidate gene markers and screening on antimicrobial peptides of black pepper and small cardamom.Johnson George K, P.Umadevi, PI, Saji K.V. Sharon Aravind, ICAR-IISR, Kerala and U. B. Angadi, Dinesh Kumar, M. A. Iquebal, Sarika , ICAR-IASRI, New Delh
20Computational identification and modelling of genetic variation in relation to performance traits in buffaloes.K P Singh, S S Paul, A Jerome, S Balhara, Varij Nayan , CIRB and D.C. Mishra* , A. R. Rao, K.K. Chaturvedi, ICAR-IASRI, New Delh
21Microbial domain research projects on computational aspects.Sanjeev Kumar , K.K. Chaturvedi, M. S. Farooqi ,ICAR-IASRI, New Delhi.
22RiceMetaSys: Understanding rice gene network for blast resistance and drought tolerance through system biology approach.Amol kumar U. Solanke*, T.R. Sharma, Amitha S.V. Mithra, Ramawatar, ICAR-NRCPB and K.K. Chaturvedi, D. C. Mishra, ICAR-IASRI, New Delhi.
23Identification of genetic polymorphisms for pathogenicity in Vibrio sp.Ashok kumar Jangam, ICAR-CIBA, and  M. Grover,ICAR-IASRI New Delhi.
24Bioinformatics analysis of sequence data of brinjal and bitter gourd for identification of functional and regulatory genes for traits of economic importance.K.V. Bhat, Soma S. Marla,, A.B. Gaikwad, S. Archak, D.P. Wankhede, ICAR-NBPGR, and M. Grover, S. B. Lal, ICAR-IASRI, New Delhi.
25Development of database on SNPs associated with economically important traits of Indian goats.R.V.S. Pawaiya*, ICAR-CIRG, and A.R.Rao, ICAR-IASRI, New Delhi.
26Development of database repertoire for Clostridium perfiringens strains prevalent in causing Enterotoxaemia in goats.R.V.S. Pawaiya, ICAR-CIRG, and A.R.Rao, ICAR-IASRI, New Delhi.
27Metagenomic applications and transcriptomes profiling for inland aquatic environmental health surveillance.B.K.Behera, CIFRI, Barrackpore and A.R.Rao, ICAR-IASRI, New Delhi
28Gene Regulatory Networks Modelling For Heat Stress Responses of Source and Sink for Development of Climate Smart Wheat .Suneha Goswami , G P Singh ,P K Singh, Neelu Jain, Puja Rai , ICAR-IARI,  and D. C. Mishra, M. Grover, Sanjeev Kumar,  K. K. Chaturvedi, ICAR-IASRI, New Delhi.
29Studying drought-responsive genes in subtropical maize germplasm and their utility in development of tolerant maize hybrids .M.M.G. Mallikarjuna, Shailendra K. Jha, ICAR-IARI, and  A.R. Rao, P. K. Meher, ICAR-IASRI, New Delhi.  
  • Externally funded
SL. NO.PROJECT NAMEFUNDING AGENCYPROJECT TEAM
1Risk Asessment and Insurance Products for AgricultureNational Agricultural Innovation Project (NAIP)P.K. Joshi, B.C. Barah , ICAR-NCAP and  Anil Rai*, P.K. Malhotra, K.K. Chaturvedi, V. Ramasubramanian, ICAR-IASRI, New Delhi
2Establishment of National Agricultural Bioinformatics Grid in ICARNational Agricultural Innovation Project (NAIP)Anil Rai*, Dinesh Kumar, A.R. Rao, S.B. Lal, K.K. Chaturvedi, Anu Sharma, Md. Samir Farooqi, Seema Jaggi, Hukum Chandra, Sanjeev Kumar, Sarika, M.A. Iquebal ICAR-IASRI, New Delhi
3Bioprospecting of Genes and Allele Frequency for Abiotic Stress ToleranceNational Agricultural Innovation Project (NAIP)N.K. Singh ICAR-NRCPB, A.R. Rao*, Sudeep, S.D. Wahi, ICAR-IASRI, New Delhi
4Whole Genome Association (WGA) Analysis in Common Complex Diseases: An Indian Initiative.DBT- Department of Biotechnology, Govt. of IndiaB.K. Thelma UDSC, New Delhi and  Ramesh C. Juyal NII, New Delhi and  Sanjay Jain, DU, Delhi Ashok Kumar , AIIMS, New Delhi,  Ajit Sood, DMC, Ludhiana and  A.R. Rao*, S.D. Wahi ICAR-IASRI, New Delhi
5Buffalo Genome Information Resource.DBT- Department of Biotechnology, Govt. of IndiaSachinanad De, ICAR-NDRI, Kerna and A. R. Rao* ICAR-IASRI, New Delhi
6A New Distributed Computing Framework for Data Mining, Department of Electronics and Information Technology, Govt. of IndiaNavneet Goyal, Poonam Goyal, Sundar B. , BITS, Pilani Sanjeev Kumar*, Sudhir Srivastava, ICAR-IASRI, New Delhi
7Modeling Network of Gene Responses to Abiotic Stress in Rice.National Fund for Basic, Strategic and Frontier Application Research in Agriculture (NFBSFARA), New Delhi.Sanjeev Kumar*, Anil Rai, Dinesh Kumar, S.B. Lal, D.C. Mishra, ICAR-IASRI, New Delhi
8Whole Genome sequencing and development of Allied genomic research in two commercially important Fish- Labeo rohita and Clarias batrachus.  Department of Biotechnology, Govt. of India.N.S. Nagpure, B. Kushwaha, Ravindra Kumar, ICAR-NBFGR   and P. Das, P. Jayasankar, L. Sahoo, ICAR-CIFA and C.G. Joshi, P.G. Koringa AAU, and  Dinesh Kumar* Sarika, M. A. Iquebal, ICAR-IASRI, New Delhi
9Whole genome based SNP mining and development of breed signatures for dairy and dual-purpose indigenous cattle.Department of Biotechnology, Govt. of India.S. K. Dixit, S. Jayakumar NBAGR, and A. K. Dang, Avtar Singh, ICAR-NDRI, and M. A. Iquebal*, Dinesh Kumar,  ICAR-IASRI, New Delhi
10ICAR-Network Project on Transgenic in crops (NPTC).ICAR-Indian Council of Agricultural Research.M. A. Iquebal*, Sarika, Dinesh Kumar, Anil Rai ICAR-IASRI, New Delhi.
11Transcriptome and proteome analysis for identification of candidate genes responsible for pistillate nature in castor.Extramural funded under Crop Sciences Division.M. A. Iquebal, ICAR-IASRI, New Delhi.

(2017)

  • Iquebal, Mir A, Jaiswal, Sarika, Mahato, Ajay K, Jayaswal, Pawan K, Angadi, U.B., Kumar, Neeraj, Sharma, Nimisha, Singh, Anand, Srivastav, Manish, Praksh, Jai, Singh, Sanjay K, Khan, Kasim, Mishra, Rupesh K, Rajan, Shailendra, Bajpai, Anju, Sandhya, BS, Nischita, Puttaraju, Ravishankar, KV, Dinesh, MR, Rai, Anil, Kumar, Dinesh, Sharma, Tilak R., Singh, Nagendra K. (2017). MiSNPDb: a web based genomic resources of tropical ecology fruit mango (Mangifera indica L.) for phylogeography and varietal differentiation. Nature Scientific Reports 7, Article number: 14968(2017) (https://www.nature.com/articles/s41598-017-14998-2)
  • Tandon, G., Singh, S., Kaur, S., Sarika, Iquebal, M.A., Rai, A., Kumar, D. (2017). In silico identification of the genes related to biotic stresses in Solanum lycopersicum. Genomics Data.14, 82-90.
  • Choudhary, Pooja, Malhotra, Suruchi, Bharadwaj, C, Gaikwad, Kishor, Kaur, Sukhdeep, Chopra, Meenu, Tandon, Gitanjali, Jaiswal, Sarika, Iquebal, Mir A, Rai, Anil, Kumar, Dinesh, Srinivasan, Jain, Pradeep K. (2017). Transcriptomic signature of fusarium toxin in chickpea unveiling wilt pathways and marker discovery. Physiological and Molecular Plant Pathology , 100, 163-177.
  • Arora, K., Panda, K.K., Mittal, S., Mallikarjuna, M.G., Rao, A.R., Dash, P.K. and Thirunavukkarasu, N. (2017). RNAseq revealed the important gene pathways controlling adaptive mechanisms under waterlogged stress in maize. Scientific Reports, 7: 10950,1-12, DOI:10.1038/s41598-017-10561-1.
  • Jasrotia, Rahul Singh, Iquebal, Mir Asif, Yadav, Pramod Kumar, Kumar, Neeraj, Jaiswal, Sarika, Angadi, Ulavappa B., Rai, Anil, Kumar, Dinesh (2017). Development of transcriptome based web genomic resources of yellow mosaic disease in Vigna mungo. Physiology and Molecular Biology of Plants. https://link.springer.com/article/10.1007/s12298-017-0470-7
  • Kumar Devendra and Farooqi Mohammad Samir (2017). The Type I Generalized Half Logistic Distribution Based On Generalized Order Statistics, International Journal of Agricultural and Statistical Sciences, 13 (1), 337-344
  • Thorat, DS, Sahoo, PK, De, D and Iquebal, MA (2017). Prototype: A ridge profile mechanical power weeder. Agricultural Mechanization in Asia, Africa and Latin America, 48 (1), 81-86.
  • Gioi, H.V., Mallikarjuna, M.G., Mittal, S., Banduni, P., Jha, S.K., Dash, P., Basappa, A.M., Gadag, R.N., Rao, A.R. and Thirunavukkarasu, N. (2017). Variable level of dominance of candidate genes controlling drought functional traits in maize hybrids, Frontiers in Plant Science, 8:940, DOI: 10.3389/fpls.2017.00940.
  • Aravind, J., Rinku, S., Pooja, B., Shikha, M., Kaliyugam, S., Mallikarjuna, M. G., Kumar, A, Rao, A.R. and Nepolean, T. (2017). Identification, Characterization, and Functional Validation of Drought-responsive MicroRNAs in Subtropical Maize Inbreds. Frontiers in Plant Science, 8:941, DOI: 10.3389/fpls.2017.00941.
  • Das, S, Meher, PK, Rai, A, Bhar LM, Mandal BN (2017) Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.). PLoS ONE 12(1): e0169605. DOI:10.1371/journal.pone.0169605.
  • Biswas, A, Rai, A, Ahmad, T and Sahoo, PM (2017). Spatial Estimation and Rescaled Spatial Bootstrap Approach for Finite Population. Communications in Statistics -Theory and Methods, 46(1), 373-388.
  • Mishra, DC, Smita, S, Singh I, Devi, MN,Kumar S, Farooqi, MS, Chaturvedi, KK,Rai,A (2017). Prediction of novel putative miRNAs and their targets in buffalo. Indian Journal of Animal Sciences, 87(1), 59–63
  • Som, S, Burman, RR, Sharma, JP, Sangeetha, V, Lenin, V and Iquebal, MA (2017). Assessment of knowledge and attitude level of stakeholders on good agricultural practices (GAP) for grape. Indian Journal of Agricultural Sciences, 87 (2), 273-277.
  • Islam, S., Sharma, R.K., Chhokar, R.S., Dhar, S., Sabir, N., Chaturvedi, K.K., Singh, R., Farooqi, M.S. and Sharma, K. (2017). Expert system for the identification and control of weeds in wheat crop. Annals of Agricultural Research, New Series. 38(2):1-9.
  • Iquebal, Mir Asif,Soren,Khela Ram, Gangwar, Priyanka, Shanmugavadevel, P S, Aravind K, Singla, Deepak, Jaiswal,Jasrotia, Rahul Singh, Sarika, Chaturvedi, Sushil K, Singh, NP, Varshney, Rajeev K, Rai, Anil, Kumar, Dinesh (2017).Discovery of herbicide resistance genes and its regulatory network in chickpea using transcriptome sequencing. Frontiers in Plant Sciences, 8:958. doi: 10.3389/fpls.2017.00958. http://journal.frontiersin.org/article/10.3389/fpls.2017.00958/fulltarget
  • Monendra Grover,Dwijesh C. Mishra, Naveen Sharma, Sudhir Srivastava, Anil Rai (2017) The maximum computational capacity of proteins involved in abiotic stress differs significantly from the proteins not involved in abiotic stress, National Academy Science Letters, , 1-3, 10.1007/s40009-017-0557-2.

(2016)

  • aneshan, P., Jain, A., Parmar, B., Rao, A.R., Sreenu, K., Mishra, P., Mesapogu, S., Subrahmanyam, D., Ram, T., Sarla, N. and Rai, V. (2016). Identification of salt tolerant rice lines among interspecific BILs developed by crossing Oryza sativa × O. rufipogon and O. sativa × O. nivara. Australian Journal of Crop Science, 10(2), 220-228.
  • Kumar, M., Sarangi, A., Singh, D.K., Rao, A. R. and Sudhishri, S. (2016). Response of wheat cultivars to foliar potassium fertilization under irrigated saline environment. Journal of Applied and Natural Science, 8(1), 429-436.
  • Chaturvedi, V., Kumar, A. Mishra, I.M., Singh, J. K., Sahoo, R. N., Jha, G.K. and Lal, S. B. (2016). Study on interventions to reduce vibration transmission to power tiller operator. Journal of Applied and Natural Science. 8 (1): 265 – 272. ISSN: 0974-9411 (Print), 2231-5209 (Online).
  • Jyotika Bhati, Pavan Kumar Chaduvula, Sanjeev Kumar*, Soma S. Marla and Anil Rai (2-16); In-silico prediction and functional analysis of salt stress responsive genes in Rice (Oryza sativa), J Rice Res 4: 164. doi:10.4172/2375-4338.1000164
  • Pandey N, Grover M, Rai A (2016) Conservation of Properties of Outer Membranes Protein across Host Genera of Pasteurella multocida Suggests Common Mechanism of Action. Mol Biol 5:162. doi:10.4172/2168-9547.1000162
  • Badoni, S., Das, S., Sayal, Y.K., Gopalakrishnan, S., Singh, A.K., Rao, A.R., Agarwal, P., Parida, S.K. and Tyagi, A.K. (2016) Genome-wide generation and use of informative intron-spanning and intron-length polymorphism markers for high-throughput genetic analysis in rice. Scientific Reports, 6: 23765 (DOI: 10.1038/srep23765).
  • Tiwari, S., Krishnamurthy, S.L., Kumar, V., Singh, B., Rao, A. R., Mithra, S.V.A., Rai, V., Singh, A.K., Singh, N.K. (2016). Mapping QTLs for Salt Tolerance in Rice (Oryza sativa L.) by Bulked Segregant Analysis of Recombinant Inbred Lines Using 50K SNP Chip. PLoS ONE, 11:4, DOI: 10.1371/journal.pone.0153610
  • Gautam, Aditi, Sharma, Asuda, Sarika, Fatma, Samar, Arora, Vasu, Iquebal, M.A., Nandi, S., Sundaray, J.K., Jayasanker, J., Rai, Anil, Kumar, Dinesh (2016). Development of antimicrobial peptide prediction tool for aquaculture industries. Probiotics and Antimicrobial Proteins. http://link.springer.com/article/10.1007/s12602-016-9215-0
  • Grover, M., Pandey, N. and Rai, A. (2016) First report on Quantum Computational Logic in Biological Networks, International Journal of Innovative Research in Technology and Science, 4:22-24
  • Mohammad Samir Farooqi, DC Mishra, Niyati Rai, DP Singh, Anil Rai, KK Chaturvedi, Ratna Prabha and Manjeet Kaur (2016). Genome-wide relative analysis of codon usage bias and codon context pattern in the bacteria Salinibacter ruber, Chromohalobacter salexigens and Rhizobium etli. in Biochemistry and Analytical Biochemistry. 5:257. doi:10.4172/2161-1009.1000257.
  • Virupaksh U. Patil1, Vanishree, G, Hemant B. Kardile, Vikas Jindal, SK Dutta, KK Chaturvedi and SK Chakrabarti (2016). In Silico Analysis of Genome wide microsatellite DNA marker in Coffee (Coffea arabica L.). International Journal of Computational Bioinformatics and In Silico Modeling. 5(3):815-818.
  • Meher, P.K., Sahu, T.K., Rao, A. R., Wahi, S.D.(2016). Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features. Algorithms for Molecular Biology, 11:16, DOI: 10.1186/s13015-016-0078-4.
  • Meher, P.K., Sahu, T.K., Rao, A. R., Wahi, S.D.(2016). A computational approach for prediction of donor splice sites with improved accuracy. Journal of Theoretical Biology, 404, 285-294. (http://dx.doi.org/10.1016/j.jtbi.2016.06.013)
  • Virupaksh U Patil, Vanishree G, Vivek Hegde, KK Chaturvedi and SK Chakrabarti (2016). Computational Analysis of Short Tandem Repeat (STR) Markers from Genome Wide Expression Regions of Sugar Beet (Beeta vulgaris) In Journal of Applied Bioinformatics and Computational Biology, 5:1. doi: 10.4172/2329-9533.1000125
  • Kumar, R.R., Goswami, S., Singh, K., Dubey,K., Singh, S., sharma, R., Verma,N., Kala, Y.K., Rai, G., Grover, M., Mishra, D.C., Singh, B., Pathak, H., Chinnusamy, V., Rai, A. and Praveen, S. (2016)Identification of putative RuBisCo activase (TaRca1) ˗ the catalytic chaperone regulating carbon assimilatory pathway in wheat (Triticum aestivum) under the heat stress . Front. Plant Sci. | doi: 10.3389/fpls.2016.00986, Thomson Reuters IF:4.475
  • Shachi Gahoi1‡, Neetesh Pandey2‡, B.V. Suresh1, Monendra Grover2*, S.S. Marla1 and Anil Rai, A computational study on genetic diversity of shatterproof1 and shatterproof2 genes in some members of Oleraceae and its molecular implications Accepted for Publication in Plant Omics Journal, NAAS rating : 6.00
  • Meher, P.K., Sahu, T.K and Rao, A.R. (2016). Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier. Gene, doi:10.1016/j.gene.2016.07.010. Thomson Reuters IF:2.319
  • Jaiswal, V., Gahlaut, V., Meher, P.K., Mir, R.R., Jaiswal, J.P., Rao, A.R., Balyan, H.S. and Gupta, P.K. (2016). Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.), PLoS ONE, 11(7): e0159343, doi:10.1371/journal.pone.0159343. Thomson Reuters IF:3.057
  • Gupta, S., Singh, Y., Kumar, H., Raj, U., Rao, A.R., Varadwaj, P.K. (2016). Identification of novel abiotic stress proteins in Triticum aestivum through functional annotation of hypothetical proteins. Interdisciplinary Sciences: Computational Life Sciences, doi:10.1007/s12539-016-0178-3. Thomson Reuters IF:0.853
  • Suneha Goswami, Ranjeet R. Kumar, Kavita Dubey, Jyoti P. Singh, Sachidanand Tiwari, Ashok Kumar, Shuchi Smita, Dwijesh C. Mishra, Sanjeev Kumar, Monendra Grover, Jasdeep C. Padaria, Yugal K. Kala, Gyanendra P. Singh, Himanshu Pathak, Viswanathan Chinnusamy, Anil Rai, Shelly Praveen and Raj D. Rai. (2016). SSH analysis of endosperm transcripts and characterization of heat stress regulated expressed sequence tags in bread wheat. Frontiers in Plant Science, 7, 1230.
  • Garima Vats, Monendra Grover, Avantika Singh, Nidhi Chandra, Neetesh Pandey and Anil Rai (2016) Role of palmitoylation and nitration in modification of large number of proteins associated with drought stress in plants. Agrica, 2016, 5: 59-62
  • Srivastava, R., Bajaj, D., Sayal, Y.K., Meher, P.K., Upadhyaya, H.D., Kumar, R., Tripathi, S., Bharadwaj, C., Rao, A.R. and Parida, S.K. (2016). Genome-wide development and deployment of informative intron-spanning and intron-length polymorphism markers for genomics-assisted breeding applications in chickpea. Plant Science, 252, 374-387.
  • Meher, P.K., Sahu, T.K., Rao, A.R. and Wahi, S.D. (2016). Discriminating coding from non-coding regions based on codon structure and methylation-mediated substitution: An application in rice and cattle. Computers and Electronics in Agriculture, 129, 66-73, DOI:10.1016/j.compag.2016.09.013
  • Meher, P.K., Sahu, T.K., Rao, A. R. (2016). Identification of species based on DNA barcode using k-mer feature vector and Random forest classifier. Gene, 592(2), 316-324.
  • Aarti Singh and Anu Sharma (2016). Evaluation of a Secured Interface for Intelligent Recommendations for Web Personalization, International Journal of Computing, 6(2), Pp. 64-69.
  • Anu Sharma, Ali T. Al-khwaldeh and Aarti Singh (2016). ABSEP3S- An Agent Based Security Engine for Privacy Preserving in Personalized Search, International Journal of Computing Academic Research (IJCAR), 5(3), 170-176.
  • Sharma, Pradeep, Tiwari, Ratan, Saharan, M.S., Sharma, Indu, Kumar, Jitender, Mishra, Shefali, Muthusamy, Senthilkumar K., Gupta, R.K., Jaiswal, Sarika, Iquebal, Mir Asif, Angadi, U.B., Kumar, Neeraj, Fatma, Samar, Rai, Anil, Kumar, Dinesh (2016) Draft Genome Sequence of the Karnal Bunt fungus, Tilletia indica Mitra: Two monosporidial lines (PSWKBGH-1 and 2). Genome Announcement 4(5):e00928-16. doi:10.1128/genomeA.00928-16.
  • Kaur, Sukhdeep, Iquebal, M.A., Jaiswal, Sarika, Tandon, Gitanjali, Sundaram, R.M., Gautam, R.K., Suresh, K.P., Rai, Anil and Kumar Dinesh (2016). A meta-analysis of potential candidate genes associated with salinity stress tolerance in rice. Agrigene 1, 126-134.
  • Shukla, Shantanu Shukla, Iquebal, MA, Jaiswal, Sarika, Angadi, UB, Fatma, Samar, Kumar, Neeraj, Jasrotia, Rahul S, Fatima, Yasmin, Rai, Anil, Kumar, Dinesh (2016) The Onion Genomic Resource: A Genomics and Bioinformatics driven resource for onion breeding. Plant Gene, 8: 9-15.
  • Kumar, S., Ambreen, H., Variath, M.T., Rao, A.R., Agarwal, M., Kumar, A., Goel, S. and Jagannath, A.(2016). Utilization of molecular, phenotypic, and geographical diversity to develop compact composite core collection in the oilseed crop, safflower (Carthamus tinctorius L.) through maximization strategy. Frontiers in Plant Science, 7:1554, DOI:10.3389/fpls.2016.01554.
  • Angadi, U. B., Anandan, S., Gowda, N. K. S., Rajendran, D., Devi, L., Elangovan, A. V. and Jash, S. (2016) Feed Assist-An Expert System on Balanced Feeding for Dairy Animals, AGRIS on-line Papers in Economics and Informatics, 8(3), 3 – 12.
  • Shinde, M.P., Upadhyay, A., Sarika, Iquebal, M.A. and Upadhyay, A. K. (2016). Identification, characterization and expression analysis of ERF transcription factor VviERF073 and standardization of stable reference genes under salt stress in grape. Vitis-Journal of Grapevine Research, 55, 165-171.
  • Ngaki MN, Wang B, Sahu BB, Srivastava SK, Farooqi MS, Kambakam S, etal. (2016) Tanscriptomic Study of the Soybean-Fusarium virguliforme Interaction Revealed a Novel Ankyrin-Repeat Containing Defense Gene, Expression of Whose during Infection Led to Enhanced Resistance to the Fungal Pathogen in Transgenic Soybean Plants. PLoS ONE 11(10): e0163106. doi:10.1371/journal.pone.0163106
  • Aarti Singh, Anu Sharma (2016). An Approach for Personalized Web Information Retrieval using Modified PageRank Method, Proceedings of the International Conference on Advances in Information Communication Technology & Computing, Article No. 102, ACM.
  • Iquebal, M.A., Prajneshu, Sarika (2016). Application of data reduction technique in agriculture: A functional approach. International Journal of Agricultural and Statistical Sciences, 12(S1), 209-213.
  • Das S, Meher PK, Rai A, Bhar LM, Mandal BN (2017) Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.). PLoS ONE 12(1): e0169605. doi:10.1371/journal.pone.0169605.
  • Singh, Nagendra K, Mahato, Ajay K,Jayaswal, Pawan K, Singh, Akshay, Singh, Sangeeta, Singh, Nisha, Rai, Vandna, Amitha Mithra S V, Gaikwad, Kishor, Sharma, Nimisha, Lal, Shiv, Srivastava, Manish, Praksh, Jai, Kalidindi, Usha, Singh, Sanjay K, Singh, Anand K, Khan, Kasim, Mishra, Rupesh K, Rajan, Shailendra, Bajpai, Anju, Sandhya, BS, Nischita, Puttaraju, Ravishankar, KV, Dinesh, MR, Kumar, Neeraj, Jaiswal, Jaiswal, Sarika, Iquebal, Mir A, Kumar, Dinesh, Rai, Anil and Sharma, Tilak R (2016). Origin, Diversity and Genome Sequence of Mango (Mangifera indica L.). Indian Journal of History of Science, 51.2.2 (2016) 355-368].
  • Choudhary, R.K., Rao A. R., Wahi, S.D. and Misra, A.K. (2016). Detection of biennial rhythm and estimation of repeatability in mango (Mangifera indica L.). Indian Journal of Genetics and Plant Breeding. 76(1), 88-97.
  • Singh, Binay K., Mishra, Dwijesh C., Yadav, Sushma, Ambawat, Supriya, Vaidya, Era, Tribhuvan, Kishor U., Kumar, Arun, Kumar, Sujith, Kumar, Sanjeev, Chaturvedi, K. K., Rani, Reema, Yadav, Prashant, Rai, Anil, Rai, P. K., Singh, V. V. and Singh, Dhiraj. (2016). Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian Mustard (Brassica juncea). Journal of Plant Biochemistry and Biotechnology. PP. 1-11.
  • Mallikarjuna, M.G., Nepolean, T., Mittal, S., Hossain, F., Bhat, J.S., Manjaiah, K.M., Marla, S.S., Mithra, A.C., Agrawal, P.K., Rao, A.R. and Gupta, H.S. (2016). In-silico characterization and comparative mapping of yellow stripe like transporters in five grass species. Indian Journal of Agricultural Sciences, 86(5), 621-627.
  • Meher, P.K., Sahu, T.K. and Rao, A. R. (2016). Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice. Indian Journal of Genetics and Plant Breeding, 76(2), 173-180.
  • Arpan Bhowmik, Ramasubramanian V., Anil Rai, Adarsh Kumar and Madan Gopal Kundu (2016). Improved Estimation in Logistic Regression through Quadratic Bootstrap Approach: An Application in Agricultural Ergonomics.Journal of the Indian Society of Agricultural Statistics70(3) 2016 227–235

(2015)

  • arti Singh, Anu Sharma, Nilanjan Dey and Amira S. Ashour (2015). Web Recommendation Techniques – Status, Issues and Challenges, Journal of Network Communications and Emerging Technologies (JNCET), Vol. 5(2), pp. 57-65.
  • Ankur Biswas, Anil Rai, Tauqueer Ahmad and Prachi Misra Sahoo (2015). Spatial Estimation approach under ranked set sampling from spatial correlated finite population. Int. J. Agricult. Stat. Sci. Vol. 11, No. 2, pp. 551-558, 2015.
  • Bijay Kumar Behera, Vishwamitra Singh Baisvar, Kavita Kumari, Ajaya Kumar Rout, Sudip Pakrashi, Prasenjet Paria, A. R. Rao and Anil Rai (2015). The complete mitochondrial genome of the Anabas testudineus (Perciformes, Anabantidae) and its comparison with other related fish species. Mitochondrial DNA, DOI: 10.3109/19401736.2015.1115490.
  • Das, Sofia, Bit, Amrita, Patnaik, Siddhi, Sahoo, Lakshman, Meher, Prem, Saha, T., Patel, A., Patel, Namrata, Koringa, Prakash, Joshi, Chitanya, Agarwal, Suyash, Pandey, Manmohan, Srivastava, Shreya, Kushwaha, B., Kumar, Ravindra, Nagpure, Naresh, Iquebal, M.A., Jaiswal, Sarika, Kumar, Dinesh, Jayasankar, P., Jena, J., and Das, Paramananda (2015). Low depth shotgun sequencing resolves complete mitochondrial genome sequence of Labeo rohita. Mitochondrial DNA.
  • Grover Monendra, Mishra Dwijesh (2015). Development of computational methods for classification and determination of function in proteins related to abiotic stress in Poaceae. Journal of Applied BioScience Research, 12, 1-3.
  • Grover Monendra, Sudeep Kumar, Rajesh Kumar, Mishra Dwijesh (2015). What does it mean to Gain Complete Understanding of Biological Systems (or for that matter universe)? Journal of Applied BioScience Research 12, 4-5.
  • Iquebal, MA, Sarika, Angadi, UB, Sablok, Gaurav, Arora, Vasu, Kumar, Sunil, Rai, Anil and Kumar, Dinesh (2015). SBMDb: First whole genome microsatellite DNA marker database of sugar beet for bioenergy and industrial applications. Database: The Journal of Biological Databases and Curation (Oxford Journal). 2015: bav111.
  • Kale, SJ, Jha, SK, Jha, GK, Sinha, JP, Lal, SB (2015). Soaking Induced Changes in Chemical Composition, Glycemic Index and Starch Characteristics of Basmati Rice. Rice Science, 2015, 22(4): DOI: 10.1016/S1672-6308(14)60296-1.
  • Koltes JE, Kumar D, Kataria RS, Cooper V, Reecy JM (2015) Transcriptional profiling of PRKG2-null growth plate identifies putative down-stream targets of PRKG2. BMC Res Notes. 2015 Apr 30; 8(1):177. doi: 10.1186/s13104-015-1136-6.
  • Kumar Devendra and Farooqi Mohammad Samir (2015). On Generalized Order Statistics from Marshall-Olkin Log-Logistic Distribution. Global Journal of Pure and Applied Mathematics. ISSN 0973-1768 Volume 11, Number 5 (2015), pp. 3513-3528.
  • Kumar Ranjeet R, Goswami Suneha, Sharma Sushil K, Kala Yugal K, Rai Gyanendra K, Mishra Dwijesh C, Grover Monendra, Singh Gyanendra P, Pathak Himanshu, Rai Anil, Chinnusamy Viswanathan , Rai Raj D (2015). Harnessing Next Generation Sequencing in Climate Change: RNA-Seq Analysis of Heat Stress-Responsive Genes in Wheat (Triticum aestivum L.). Omics: a journal of integrative biology, DOI:10.1089/omi.2015.0097.
  • Kushwaha, B., Kumar, R., Agarwal, S., Pandey, M., Nagpure, N.S., Singh, M., Srivastava, S., Joshi, C.G., Das, P., Shah, T.M., Patel, A.B., Patel, N., Koringa, P, Das, S.P., Patnaik, S., Bit, A., Sarika, Iquebal, M.A., Kumar, D. and Jena, J.K. (2014). Assembly and variation analyses of C. batrachus mitogenome retrieved from WGS data and its phylogenetic relationship with other catfishes. Meta Gene, 5, 105-114.
  • Nagesh Mandadi, Christopher Hendrickson, Savithri Handanahal, Thippeswamy Rajappa, Nikhita Pai, Saleem Javeed, Abraham Verghese, Anil Rai, Aneesh Pappu, Geetha Nagaraj, Amit Dhingra (2015): Genome sequences of Photorhabdus luminescens strains isolated from entomopathogenic nematodes from southern India. Genomics Data. doi: 10.1016/j.gdata.2015.07.023
  • Nigam Deepti, Kadimi Puneet K, Kumar Sanjeev, Mishra Dwijesh C and Rai Anil. (2015). Computational analysis of miRNA-targets Community Network reveals cross talk among different metabolism. Genomics Data. 5, 292-296.
  • Pavan K Chaduvula, Jyotika Bhati, Anil Rai, Kishore Gaikwad, Soma S Marla, M Elangovan, Sanjeev Kumar (2015): Insilico expressed sequence tag analysis in identification and characterization of salinity stress responcible genes in Sorghum bicolour, Australian Journal of Crop Sciences, 9(9), 799-806.
  • Rudra SG, Jakhar N, Nishad J, Saini N, Sen S, Bhardhwaj R, S Jaiswal , Suneja P, Singh S and Kaur C. (2015). Extrusion Conditions and Antioxidant Properties of Sorghum, Barley and Horse Gram Based Snack. International Journal of Plant Research, 28(2):171.
  • Sengupta A, Grover M, Chakraborty A, Saxena S (2015) HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an Individual. PLoS ONE 10(6): e0127918. doi:10.1371/journal.pone.0127918.
  • Tandon, Gitanjali, Sarika, Iquebal, M. A., Kumar, Sunil, Kaur, Sukhdeep, Rai, Anil and Kumar, Dinesh. (2015). Evidence of Salicylic Acid pathway with EDS1 and PAD4 proteins by molecular dynamics simulation for Grape improvement. Journal of Biomolecular Structure and Dynamics. 33 (10), 2180–2191.
  • Gupta, S., Rao, A.R., Varadwaj, P., De, S. and Mohapatra, T. (2015). Extrapolation of inter domain communications and substrate binding cavity of Camel HSP70 1A: A molecular modeling and dynamics simulation study. PLoS ONE, 10(8):e0136630. DOI:10.1371/journal.pone.0136630.
  • Gupta,S., Jadaun,A., Kumar,H., Raj,U., Varadwaj,P.K. and Rao, A.R. (2015). Exploration of new drug like inhibitors for serine/threonine protein phosphatase 5 of Plasmodium falciparum: A docking and simulation study. Journal of Biomolecular Structure and Dynamics, 33(11), 2421-2441.
  • Behera, B.K., Das, P., Maharana, J., Meena, D.K., Sahu, T.K., Rao, A.R., Chatterjee, S., Mohanty, B.P., Sharma, A.P. (2015). Functional Screening and Molecular Characterization of Halophilic and Halotolerant Bacteria by 16S rRNA Gene Sequence Analysis. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 85(4), 957-964.
  • Sarkar, R.K., Rao, A.R., Meher, P.K., Nepolean, T. and Mohapatra, T. (2015). Evaluation of Random Forest regression for prediction of breeding value from genome-wide SNPs. Journal of Genetics, 94, 187-192.
  • Sarkar, R.K., Meher, P.K., Wahi, S.D., Mohapatra, T. and Rao, A.R. (2015). An approach to the development of a core set of germplasm using a mixture of qualitative and quantitative data. Plant Genetic Resources, Characterization and Utilization. 13(2), 96-103.
  • Bardhan, S.R., Rao, A.R., Meher, P.K., Marwaha, S. and Wahi, S.D. (2015).Identification of a suitable clustering method and allocation strategy for core set development in salt stress tolerant rice germplasm. Indian Journal of Agricultural Sciences, 85(12), 1560-1564.
  • Mishra, S., Behera, T.K., Munshi, A.D., Bharadwaj, C. and Rao, A.R. (2015). Inheritance of gynoecism and genetics of yield and yield contributing traits through generation mean analysis in bitter gourd. Indian Journal of Horticulture, 72 (2), 218-222.
  • Das S., Pandey, P., Rai Anil and Mohapatra C. (2015). A computational system biology approach to construct gene regulatory networks for salinity response in rice (Oryza sativa). Indian Journal of Agricultural Sciences 85 (12).
  • Sahu T.K., Rao A.K., Meher, P.K., Sahoo B.C., Gupta S., Rai Anil (2015). Computational Prediction of MHC class I epitopes for most common viral diseases in cattle (Bos Taurus). Indian Journal of Biochemistry and Biophysics, 52, 34-44.
  • Som, Sukanya, Burman, R. R., Sharma, J. P., Sangeetha, V., Lenin, V. and Iquebal, M. A. (2015) Assessing information need of the stakeholders on good agricultural practices (GAP) for grapes. Indian Journal of Extension Education, 51 (3 & 4), 8-12.
  • Som, Sukanya, Burman, R.R., Sharma, J.P., Sangeetha, V., Lenin, V. and Iquebal, M.A. (2015). Designing and validating e-Iearning Module on Good Agricultural Parctyices (GAP) for grapes. Indian Journal of Horticulture, 72(4), 489-493.

(2014)

  • Chaturvedi, KK, Kapur, PK, Anand, S., Singh, VB. (2014). Predicting the complexity of code changes using entropy based measures. International Journal of System Assurance Engineering and Management. DOI 10.1007/s13198-014-0226-5. [Springer]
  • Gautam, N. K., Iquebal, M. A., Singh, M., Akhtar, J., Khan, Z. and Ram, B. (2014). Genetic diversity analysis for quantitative traits in Lentil (Lens culinaris Medik.) germplasm. Legume Research-An International Journal, 37(2), 133-138. (To appear).
  • Kaur C., Pal, R.K., Kar A., Gadi C, Sen S, Kumar P, Chandra R, Sarika and Islam Khan. (2014). Characterization of Antioxidants and Hypoglycemic Potential of Pomegranate Grown in India – A Preliminary Investigation. Journal of Food Biochemistry (Accepted for publication).
  • Keshri, Dhananjaya P. Singh, R. Prabha, A. Rai, A. K. Sharma (2014) . Genome subtraction for the identification of potential antimicrobial targets in Xanthomonas oryzae pv. oryzae PXO99A pathogenic to rice, 3 Biotech, 4:91–95, DOI 10.1007/s13205-013-0131-7.
  • Grover (2014) Brassinosteroid synthesis as context sensitive language acceptance problem, International journal of Computer Science and Engineering, 6:118-120,
  • Meher, P.K., Sahu, T.K., Rao, A.R. and Wahi, S.D. (2014). Application of Gibbs sampling methodology for identification of transcription factor binding sites in MADS box family genes in Arabidopsis thaliana. Ind. J. Genet., 74(1), 73-80.
  • S. Patil and U. B. Angadi (2014) Motif Based Clustering Techniques for Classification of Grass Genome Sequences, International Journal of Electronics Communication and Computer Engineering Volume 5, Issue 1, 2278–4209
  • Nigam, D., Kumar Sanjeev, Mishra D. C., Rai Anil, Smita Suchi and Saha Arijit (2014) Synergistic regulatory networks mediated bymicroRNAs and transcription factors under drought, heat and salt stresses in Oryza Sativa spp, Gene, 555 (2015) 127-139.
  • Chilana Poonam, Bhati Jyotika, Sharma Anu, Mishra D. C., Rai Anil (2014). “Analysis of Codon Usage Pattern and Prediction of Potentially Highly Expressed Genes in Drosophila”, European Journal of Molecular Biology and Biochemistry, 1(4), 144-150.
  • Grover Monendra, Mishra Dwijesh, Kumar Rajesh, Trivedi A.K. and Srivastava Sudhir (2014). “Computation, Mathematics or Aesthetic Realism: Revisiting the foundations of modern biology and agriculture”, International Journal of Current Research and Academic Review, Vol 2(8), pg 175-177.
  • Sharma, M.S. Farooqi, K.K. Chaturvedi , S.B. Lal, M. Grover, A. Rai and P, Pandey (2014) The Halophile Protein Database, Database, doi: 10.1093/database/bau114
  • Grover, D.C. Mishra, R. Kumar, A.K. Trivedi and S. Srivastava (2014) Computation, Mathematics or Aesthetic Realism: Revisiting the foundations of modern biology and agriculture, Int J Curr Res Aca Rev, 2:175-177
  • Grover, S. Kumar, R. Kumar and R. Singh (2014) Multi-party Quantum Communication in biological Cells , Intl. J Comp. Sc. Engg., 6:207-208
  • Grover and R Kumar (2014) The Importance of Non local Communication with special reference to biological systems , Intl. J Comp. Sc. Engg., 6:217-218
  • Grover and R Kumar (2014) The role of Quantum computation in molecular interactions in biological cells , Intl. J Comp. Sc. Engg., 6:219-220
  • Grover and R Kumar (2014) Quantum Computation and Intuition in living organisms , Intl. J Comp. Sc. Engg., 6: 209-210
  • Lal, S.B. and Varma, S. P. (2014). Identification of Stress Responsible Genomic Sequences using Back Propagation Neural Networks. Manthan. International Research Journal on Scientific Research & Innovation. (In press).
  • Samir Farooqi, R K Sanjukta, D C Mishra, D P Singh, Anil Rai, K K Chaturvedi and Naveen Sharma (2014) In silico analysis of synonymous codon usage pattern of Rhizobium etli CFN 42, has been accepted for publication in Proceedings of the National Academy of Sciences, India Section B: Biological Sciences.
  • Chaturvedi, KK, Kapur, PK, Anand, S., Singh, VB. (2014). Predicting the complexity of code changes using entropy based measures. International Journal of System Assurance Engineering and Management. 5(2): 155-164. [Springer]
  • Behera, B.K., Das, P., Maharana, J., Meena, D.K., Sahu, T.K., Rao, A.R. Chatterjee, S., Mohanty, B.P., Sharma, A.P. (2014). Functional Screening and Molecular Characterization of Halophilic and Halotolerant Bacteria by 16S rRNA Gene Sequence Analysis Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, DOI: 10.1007/s40011-014-0440-6).
  • Behera,B.K., Das, P., Maharana, J., Paria, P., Mandal, S., Meena, D., Sharma, A., Jayarajan, R., Dixit, V., Verma, A., Vellarikkal, S., Scaria, V., Sivasubbu, S., Rao, A.R. and Mohapatra, T. (2014). Draft Genome Sequence of the extremely halophilic Bacterium Halomonas salina sp. Strain CIFRI1 isolated from East Coast of India. Genome Announcements, 3(1): e01321-14., DOI:10.1128/genomeA.01321-14, DOI:10.1128/genomeA.00123-15.
  • Meher, P.K., Sahu, T.K., Rao, A.R. and Wahi, S.D. (2014). Determination of window size and identification of suitable method for prediction of donor splice sites in rice (Oryza sativa) genome. Journal of Plant Biochemistry and Biotechnology, DOI: 10.1007/s13562-014-0286-2.
  • Meher, P.K., Sahu, T.K.,Rao, A.R. and Wahi, S.D. (2014). A statistical approach for 5′ splice site prediction using short sequence motifs and without encoding sequence data. BMC Bioinformatics, 15:362, DOI:10.1186/s12859-014-0362-6.
  • Meher, P.K.,Rao, A.R.., Wahi, S.D. and Thelma, B.K. (2014). An approach using random forest methodology for disease risk prediction using imbalanced case-control data in GWAS Current Medicine Research and Practice, 4, 289-294.
  • Rao, A.R. Dash, M., Sahu, T.K., Behera, B.K. and Mohapatra, T. (2014). Detection of novel key residues of Mn SOD enzyme and its role in salinity management across species Journal of Genetics Online Resources, 93, e8-e16.
  • Rao, A.R. Dash, M., Sahu, T.K., Wahi, S.D., Behera, B.K., Sharma, A.P. and Bhatia, V.K. (2014). Statistical and bio-computational applications in animal sciences . Ind. J. Anim. Sci., 84(5), 475-489.
  • Sahu, T.K.,Rao, A.R.., Dora, S., Gupta, S. and Rai, A. (2014). In silico identification of late blight susceptibility genes in Solanum tuberosum . Ind. J. Genet., 74(2), 229-237.
  • Sarkar, R.K., Meher, P.K., Wahi, S.D., Mohapatra, T. and Rao, A.R (2014). An approach to the development of a core set of germplasm using a mixture of qualitative and quantitative data. Plant Genetic Resources, Characterization and Utilization; 1-8, DOI:10.1017/S1479262114000732
  • Behera, S.K., Paul, A.K., Wahi, S.D., Iquebal, M.A. and Anil Kumar (2014). Estimation of heritability of mastitis disease using moment estimators. International Journal of Agricultural and Statistical Sciences, 10 (S1).
  • Manju Mary Paul, Anil Rai and Sanjeev Kumar (2014) Classification of cereal proteins related to abiotic stress based on their physicochemical properties using support vector machine. Current Science, Vol. 107, No. 8, 1283-89.
  • Jyotika Bhati, Pavan Kumar Chaduvula, Ruchi Rani, Sanjeev Kumar and Anil Rai (2014) In-silico prediction and functional analysis of salt stress responsive genes in Maize (Zea mays). European Journal of Molecular Biology and Biochemistry, 1(4):151-157.
  • Iquebal M. A., Ansari M. S., Sarika, Dixit S. P., Verma N. K., Aggarwal R.A.K. , Jayakumar S., Rai A. and Kumar D. (2014). Locus minimization in breed prediction using artificial neural network approach, Animal Genetics, 1-5, doi: 10.1111/age.12208.
  • Ratna Prabha, Dhananjaya P. Singh, Shailendra K. Gupta, Anil Rai (2014): Whole Genome Phylogeny of Prochlorococcus Marinus Group of Cyanobacteria: Genome Alignment and Overlapping Gene Approach. Interdiscip Sci Comput Life Sci (2014) 6: 1-9, DOI: 10.1007/s12539-013-0024-9
  • Lal, S.B., Sharma, Anu, Chandra, Hukum and Rai, Anil (2014). Web Based Sample Selection for Survey Data. J. of Ind. Soc. Of Agric. Statist. Vol. 68(1), 101-108.
  • Sandip Kumar Sadhu, Ramasubramanian V., Anil Rai and Adarsh Kumar (2014) Decision Tree Based Models for Classification in Agricultural Ergonomics. Journal of the Society of Statistics, Computers and Applications, Volume 12, Nos. 1&2, 2014 (New Series), pp. 21-33.
  • Mrinmoy Ray, Ramasubramanian V., Amrender Kumar and Anil Rai (2014). Application of Time Series Intervention Modelling for Modelling and Forecasting Cotton Yield. Journal of the Society of Statistics, Computers and Applications, Volume 12, Nos. 1&2, 2014 (New Series), pp. 61-70.
  • Lal, S.B. and Varma, S. P. (2014). Identification of Abiotic Stress related Cereal Proteins based on their Structural Composition using Back Propagation Networks. Journal of Agroecology and Natural Resource Management (JANRM). Vol 1(4). pp270-274. ISSN:2394-0786. Krishi Sanskriti publication.
  • Barat, A., Goel, C., Sahoo, P.K. and Rao, A.R. (2014). Development of expressed sequence tags (ESTs) from the brain tissue of snowtrout Schizothorax richardsonii (Gray, 1832) (Family Cyprinidae) and its preliminary annotation. Indian J. Fish., 61(2): 118-128.
  • Gautam, NK, Singh, N, Iquebal, MA, Singh, M, Akhtar, J, Khan, Z and Ram, B. (2014). Genetic diversity analysis for quantitative traits in lentil (Lens Culinaris Medik.) germplasm. Legume Research, 37 (2), 139-144.
  • Iquebal, MA, Prajneshu, Sarika (2014). Nonlinear support vector regression methodology for modelling and prediction: An application. Journal of the Indian Society of Agricultural Statistics, 68 (3), 369-374.
  • Singh, Madan, Burman, R.R., Sharma, J.P., Sangeetha, V. and Iquebal, M.A. (2014). Structural and Functional Mechanism of Mobile Based Agroadvisory Services and Socio-Economic Profile of the Member Farmers. Journal of Community mobilization and Sustainable development, 9(2), 192-199.

(2013)

  • Sanjukta RK, Farooqi MS, Sharma N, Rai N, Mishra DC, Rai A, Singh DP, Chaturvedi KK., (2013) Statistical Analysis of codon usage in extremely halophilic bacterium, Salinibacter ruber DSM 13855, Online J Bioinform., 14(1): 15-31.
  • Sarika, Arora, Vasu, Iquebal, M.A., Rai, Anil and Kumar, Dinesh (2013). In silico mining of putative microsatellite markers from whole genome sequence of water buffalo (Bubalus bubalis) and development of first BuffSatDB. BMC Genomics. 14, 43 (19 January, 2013).
  • Sarika, Arora, Vasu, Iquebal, M.A., Rai, Anil, and Kumar, Dinesh (2013). PIPEMicroDB: Microsatellite database and primer generation tool for pigeonpea genome. Database: The Journal of Biological Databases and Curation. Vol. 2013, Article ID bas054, doi:10.1093/database/bas054.
  • Bajetha, Garima, Bhati, Jyotika, Sarika, Iquebal, M. A., Rai, Anil, Arora, Vasu and Kumar, Dinesh (2013). Analysis and functional annotation of expressed sequence tags of Water Buffalo, Animal Biotechnology. 24 (1), 25-30.
  • Bhushan, Gunjan, Mishra, V.K., Iquebal, M.A. and Singh, Y.P. (2013) Effect of genotypes, reproductive developmental stages, and environments on glucosinolates content in rapeseed mustard. Asian Journal of Plant Science and Research, 3(1), 75-82.
  • Singh, Braj Bhusan Singh, Supradip Saha, Balraj Singh, Pritam Kalia, Seema Jaggi and Sarika. (2013). Functional quality and antioxidant composition of selected tomato (Solanum lycopersicon L) cultivars grown in northern India. LWT – Food Science and Technology. 50, 139-145.
  • Poonam Chilana, Anu Sharma, Vasu Arora, Jyotika Bhati and Anil Rai: Computational Identification and Characterization of Putative miRNAs in Heliothis virescens has been accepted for publication in journal Bioinformation.
  • Zhi-LiangHu, Dinesh Kumar & James Reecy (2013) CorrDB: A livestock animal genetic/phenotypic trait correlation database.https://pag.confex.com/pag/xxi/webprogram/Paper6340.html
  • Avantika Singh, Garima Vats, Nidhi Chandra, Monendra Grover* (2013) Sumoylation may play an important role in modification of large number of proteins associated with heat stress in plants. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences (NAAS rating:6), doi:10.1007/s40011-013-0249-8
  • Charanjit Kaur, Shweta Nagal, Jyoti Nishad, Ravinder Kumar and Sarika (2013). Evaluating eggplant (Solanum melongena L) genotypes for bioactive properties: A chemometric approach. Food Research International (In press; Available online at http://authors.elsevier.com/sd/article/S096399691300536X)
  • Chauhan J S, Singh K H, Mishra D C (2013) “AMMI and bi-plot analyses to identify stable genotypes of Indian Mustard (Brassica juncea L.) for oil and seed meal quality characters”, SABRAO Journal of Breeding and Genetics, 45 (2) 195-202, 2.
  • Eldho Varghese, Seema Jaggi and Sarika (2013). Response surface model with neighbor effects and correlated observations. Model Assisted Statistics and Applications, 8(1): 41-49.
  • Farooqi Mohammad Samir, Sanjukta Raj kumari, Sharma Naveen, Rai Anil, Mishra Dwijesh Chandra, Singh Dhananjaya P, Chaturvedi K K, Kumar Anil and Panwar Sanjeev (2013) “Statistical and computational methods for detection of synonymous codon usage patterns and gene expression” , International Journal of Agricultural and Statistical Sciences, 9 (1), 303-310.
  • Farooqi, M.S., Sanjukta, R.K., Sharma, N., Rai, A., Mishra, D.C., Singh, D.P., Chaturvedi, K.K., Kumar, A., Panwar, S., (2013). Statistical and computational methods for detection of synonymous codon usage patterns and gene expression. International Journal of Agricultural and Statistical Sciences, 9(1): 303-310.
  • Iquebal MA, Sarika, Dhanda, SK, Arora V, Dixit, SP, Raghava GPS, Rai A and Kumar D (2013). Development of a model webserver for breed identification using microsatellite DNA marker. BMC Genetics 2013, 14:118. (http://www.biomedcentral.com/1471-2156/14/118/abstract).
  • Iquebal MA, Sarika, Arora Vasu, Verma Nidhi, Rai Anil and Kumar Dinesh (2013). First whole genome based microsatellite DNA marker database of tomato for mapping and variety identification. BMC Plant Biology 2013, 13:197. (http://www.biomedcentral.com/1471-2229/13/197/abstract).
  • Kumar A., Mishra D. C., Rai A., Sharma M.K. and Gajula M.N.V.P. (2013) “In Silico Analysis of Protein-Protein Interaction Between Resistance and Virulance Protein during Leaf Rust Disease in Wheat (Triticum aestivum L.)”, World Research Journal of Peptide and Protein, 2 (1), 52-58.
  • Kumar, V., Singh, K.H., Chaturvedi, K.K., Nanjundan, J. (2013). Design and implementation of web-based database of rapeseed-mustard germplasm using Linux – Apache – MySQL – PHP (LAMP) technology. African Journal of Agricultural Research, 8(22): 2733-2743.
  • Kumar, M., Ahmad, T., Rai, A. and Sahoo, P.M. (2013) Methodology for Construction of Composite Index. International Journal of Agricultural and Statistical Sciences, 9(2), 639-647.
  • Lal, S.B., Pandey, P.K., Rai, P.K., Rai,A., Sharma, A., Chaturvedi, K.K. (2013). Design and Development of Portal for Biological Database in Agriculture. Bioinformation, 9(11): 588-598.
  • Grover, R.Grover, R.Singh, R.Kumar and S.Kumar (2013) Quantum combinatorial model of gene expression. Bioinformation 9(3):141-144
  • Samir Farooqi, R. K. Sanjukta, D. C. Mishra, , D. P. Singh, Anil Rai, K K Chaturvedi, Anil Kumar, Sanjeev Panwar and Naveen Sharma, “Statistical and computational methods for detection of synonymous codon usage patterns and gene expression”, International Journal of Agricultural and Statistical Sciences, Vol.9, No. 1, pp. 303-310, 2013.
  • Sarika, Iquebal, M.A., Rai, Anil and Anshika (2013). Support vector machine for prediction of antimicrobial peptides in legumes. International Journal of Agricultural & Statistical Sciences, 9 (2), 717-728.
  • Sarika, Jaggi Seema and Sharma VK (2013). First order rotatable designs incorporating neighbor effects. ARS Combinatoria. 112, 145-159.
  • Satyavathi, C. T., Sapna, T., Bharadwaj, C., Rao, A.R., Bhat, J and Singh, S.P. (2013). Genetic Diversity Analysis in a Novel Set of Restorer Lines of Pearl Millet [Pennisetum glaucum (L.) R. Br] Using SSR Markers. Vegetos, 26 (1), 72-82.
  • Sharma, Anu, Lal, S. B., Mishra, D. C., Srivastava, Sudhir and Rai, Anil (2013). A web Based Software for Synonymous Codon Usage Indices. International Journal of Information and Computation Technology, Vol. 3 No. 3, 147-152.
  • Singh, V.B., Chaturvedi, K.K. (2013). Bug Prediction using Entropy Based Measures. International Journal of Knowledge Engineering and Data Mining, 2(4):266-291. [Inderscience].
  • Singh, VB, Chaturvedi, KK, Khatri, S.K., Kumar, V. (2013). Bug prediction modeling using complexity of code changes. International Journal of System Assurance Engineering and Management. DOI 10.1007/s13198-014-0242-5. [Springer]
  • Sundeep Kumar , Prerna Kumari , Uttam Kumar , Monendra Grover, Amit Kumar Singh , Rakesh Singh , R. S. Sengar (2013) Molecular approaches for designing heat tolerant wheat. J. Plant Biochem. Biotechnology, NAAS rating :6.41, DOI 10.1007/s13562-013-0229-3
  • Anu Sharma, Amerender Kumar Jha, S. B Lal and Alka Arora (2013). Web Based Software for Back Propagation Neural Networks with Weight Decay Algorithm. Proceedings of the 7th National Conference; INDIACom-2013, Computing For Nation Development, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, Page 241-246.
  • B. Lal and Anu Sharma (2013). Web Based Sample Selection for Survey Data. Proceedings of the 7th National Conference; INDIACom-2013, Computing For Nation Development, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, Page 251-244.
  • Jyotika Bhati, Pavan K Chaduvula, Sanjeev Kumar and Anil Rai: Phylogenetic analysis and secondary structure prediction for drought tolerant Capbinding proteins of plant species. Indian Journal of Agricultural Sciences, 83 (1): 21–5, 2013
  • Chaturvedi, KK, Singh, VB and Khatri, SK (2013). “A study of bug prediction approaches using Mozilla project”. In Proceedings of International Conference on Reliability, Infocom Technologies and Optimization (ICRITO 2013) during 29-31 Jan. 2013 held at Amity University, Noida, UP (India). Pg. 350-357. ISBN: 978-93-81583-85-2.
  • Sharma, Meera, Chaturvedi, KK and Singh, VB, (2013). “Severity Prediction of Bug Reports in Cross Project Context”. In Proceedings of International Conference on Reliability, Infocom Technologies and Optimization (ICRITO 2013) during 29-31 Jan. 2013 held at Amity University, Noida, UP (India). pg. 96-102. ISBN: 978-93-81583-85-2.
  • Biswas, A., Ahmad, T. and Rai, A. (2013). Variance estimation using Jackknife method in ranked set sampling under finite population framework. Journal of Indian Society of Agricultural Statistics,67(3), 345-353.
  • Yogita Gharde, Anil Rai and Seema Jaggi (2013) Bayesian Prediction in Spatial Small Area Models. Journal of Indian Society of Agricultural Statistics, 67(3), 355-362.
  • Goyal, P., Chattopadhyay, C., Mathur, A.P., Kumar, A., Meena, P.D., Datta, S. and Iquebal, M.A. (2013). Pathogenic and molecular variability among different oilseed Brassica isolates of Alternaria brassicae from India. Annals of Plant Protection Sciences, 21(2): 349-359.
  • Goyal, P., Kumar, A., Chahar, M., Iquebal, M.A., Datta, S. and Chattopadhyay, C. (2013). Pathogenic and genetic variability among different oilseed Brassica isolates of Sclerotinia sclerotiorum from India and UK. Annals of Plant Protection Sciences, 21(2): 377-386.
  • Iquebal MA, Ghosh H and Prajneshu (2013). Fitting of SETAR Three-regime nonlinear time series model to Indian lac production data through genetic algorithm. Indian Journal of Agricultural Sciences, 83 (12), 130-132.
  • Iquebal, M A and Sarika (2013). Nonlinear growth models for describing country’s Lentil (Lens culinaris M.) production. Journal of Food Legumes, 26 (1&2), 79-82.
  • Iquebal, M.A, Sarika, Arora, Vasu, Rai, Anil, and Kumar, Dinesh.(2013). In silico mining of microsatellite markers from goat whole genome and development of GOSATDB. (Accepted for publication in Indian Journal of Animal Research).
  • Lal, S. B., Pandey, P. K., Rai, P.K., Rai, Anil, Sharma, Anu and Chaturvedi, K.K. (2013). Design and Development of Portal for Biological Database in Agriculture. Bioinformation. Vol. 9 Issue: 11 ISSN 0973-2063 (online) 0973-8894 (print).
  • Patil, J.P., Sarangi, A., Singh, D.K., Chakraborty, D, Rao, A.R. and Dahiya, S. (2013). Rainfall trend analysis: A case study of Pune district in western Maharashtra region. Journal of Soil and Water Conservation, 12(1), 35-43.
  • G T Patle, D K Singh, A SarangiI, Anil Rai, Manoj Khanna and R N Sahoo (2013).Temporal variability of climatic parameters and potential evapotranspiration. Indian Journal of Agricultural Science, 83 (5): 518–24, May 2013
  • Priyamedha, Singh V V, Chauhan J S, Meena M L, Mishra D C (2013) “Correlation and path coefficient analysis for yield and yield components in early generation lines of Indian Mustard (Brassica juncea L.)”, Current Advances in Agricultural Sciences, 5(1): 37-40.
  • Anil Rai and Praveen Krishna (2013). Ranked Set Sampling from Finite Population under Randomized Framework. Journal of Indian Society of Agricultural Statistics, 67(3), 363-369.
  • Rai Anil, Sanjukta R.K., Rai Niyati, Farooqi Md. Samir,, Sharma Naveen, Mishra Dwijesh C. and Singh Dhananjay P. (2013) “Expression Analysis of Genes Responsible for Amino Acid Biosynthesis in halophilic bacterium Salinibacter ruber”. Indian Journal of Biochemistry and Biophysics, Vol 50, pp 177-185.
  • Ranjit Kumar Paul, Sanjeev Panwar, Susheel Kumar Sarkar, Anil Kumar, K.N. Singh, Samir Farooqi and Vipin Kumar Choudhary: Modelling and Forecasting of Meat Exports from India, Agricultural Economics Research Review, Vol. 26 (No.2) July-December 2013 pp 249-255
  • RK Sanjukta, Md. Samir Farooqi, Niyati Rai, Anil Rai, Naveen Sharma, Dwijesh C Mishra and Dhananjaya P Singh “ Expression analysis of genes responsible for amino acid biosynthesis in extremely halophilic bacterium, Salinibacter ruber”, Indian Journal of Biochemistry and Biophysics Vol 50, June. 2013, pp. 177-185
  • Shachi Gahoi, Arya L., Rai Anil and Marla SS (2013): DPPrimer – A Degenerate PCR Primer Design Tool. Bioinformation, 9(18), 937-940
  • Sharma, Anu, Rai, Anil, and Lal, S. B. (2013). Workflow Management Systems for Gene Sequence Analysis and Evolutionary Studies – A Review. Bioinformation. Vol. 9 Issue: 13. ISSN 0973-2063 (online) 0973-8894 (print).
  • Srivastava, Sudhir, Varghese, Cini, Jaggi, Seema and Varghese, Eldho (2013). Diallel cross designs for test versus control comparisons. The Indian Journal of Genetics and Plant Breeding, 73(2), 186-193.
  • Basak, P, Chandra, H, Sud, UC and Lal, SB (2013). Prediction of Population Total for Skewed Variable under a Log Transform Model. International Journal of Agricultural and Statistical Sciences, 9, S1, 143-154

(2012)

  • Sharma, Anu and Lal, S. B. (2012). SSDA.Analysis – A Class Library for Analysis of Sample Survey Data. International Journal of Modern Engineering Research, Vol.2, Issue.1, Jan-Feb 2012 pp-242-246, ISSN: 2249-6645
  • Kumar, Shiv Kant, Lal, I. B. and Lal, S. B. (2012). Fixed – charge Bi-criterion Transportation Problem. International Journal Of Computer Application. Issue2, Volume 1, ISSN: 2250-1797
  • Lal, S.B. and Sharma, Anu (2012). SSDA – A Windows Based Software for Survey Data Analysis. International Journal of Physical and Social Sciences (IJPSS). Volume 2, Issue 4. PP(381-389) ISSN: 2249-5894.
  • Poonam Chilana, Anu Sharma and Anil Rai (2012), Insect Genomic Resources: Status, Availability and Future, Current Science, Vol. 102, No. 4, 571-580.
  • Ratna Prabha, Dhananjaya P. Singh, Shailendra K. Gupta, Samir Farooqi and Anil Rai, “Synonymous codon usage in Thermosynechococcus elongatus (cyanobacteria) (2012) identifies the factors shaping codon usage variation”, Bioinformation, 8(13): 622-628.
  • Rajkumari Sanjukta, Mohammad Samir Farooqi, Naveen Sharma, Anil Rai, Dwijesh Chandra Mishra, and Dhananjaya P Singh “Trends in the codon usage patterns of Chromohalobacter salexigens genes” (2012). Bioinformation. 8(22): 1087-1095.
  • Sandhu SK, Oberoi HS Dhaliwal SS, Babbar N, Kaur U, Nanda, DK; Kumar D (2012) Ethanol production from Kinnow mandarin (Citrus reticulata) peels via simultaneous saccharification and fermentation using crude enzyme produced by Aspergillus oryzae and the thermotolerant Pichia kudriavzevii strain. Annals of Microbiology (Springer) 62:2, 656-666 (June 2012 issue) [A139] NAAS Score/Thompson IF 7.1/0.689.
  • Jain A, Gour DS, Bisen PS, Dubey PP, Sharma DK, Tiwari RP, Gupta N, Kumar D (2012) Allele mining in β-lactoglobulin gene of Capra hircus A Journal of Biotechnology(2012) 11:50, 11057-11064 (June 2012 issue) [A053] NAAS Score/Thompson IF 6.0/0.56.
  • Sarika, Iquebal M.A., Rai A. (2012). Biotic stress resistance in agriculture through antimicrobial peptides. Peptides, 36, 322-330.
  • Sarika, Iquebal, M. A. and Rai, Anil (2012). In silico analysis and homology model of legume antioxidant proteins. Online Journal of Bioinformatics, 13(1), 120-129.
  • Choudhary, A. K. and Iquebal, M. A. and Nadarajan, N. (2012). Protogyny is an attractive option over emasculation for hybridization in pigeonpea. SABRAO Journal of Breeding and Genetics, 44(1), 138-148.
  • Singh N, Sahu TK, Rao AR, Mohapatra T (2012). shRNAPred (version 1.0): An open source and standalone software for short hairpin RNA (shRNA) prediction. Bioinformation, 8 (13), 629-633.
  • Sahu TK, Rao AR, Vasisht S, Singh N, Singh UP (2012). Computational Approaches, Databases and Tools for in silico Motif Discovery. Interdisciplinary Sciences: Computational Life Sciences, 4 (4), 239-255 (DOI: 10.1007/s12539-012-0141-x).
  • Dhananjaya P. Singh,Ratna Prabha, Rai Anil and Dilip K. Arora ( 2012). Bioinformatics-Assisted Microbiological Research: Tasks, Developments and Upcoming Challenges. American Journal of Bioinformatics 1 (1): 10-19, 2012
  • Gharde, Yogita. Rai Anil, Chandra Hukum (2012) Hierarchical Bayes Small area approach for spatial data, Jr. Ind. Soc. Ag. Stat. , 66(2), 259-268.
  • Kumar Manoj, Ahmad Taqueer, Rai Anil, Sahoo, P.M. (2012). Sensitivity analysis of various indicators of composite index, Jr. Ind. Soc. Ag. Stat. , 66(2), 3335-342.
  • Chaturvedi, K.K., Singh, V.B. (2012). An empirical comparison of machine learning techniques in predicting the bug severity of open and closed source projects. International Journal of Open Source Software and Processes, 4(2): 32-59. [IGI-Global]
  • Dahiya, Shashi, Chaturvedi, K.K, Jaggi, Seema, Bharadwaj, Anshu, Varghese, Cini. (2012). A Digital Education Initiative in Agriculture. Journal of Farming Systems Research & Development. 18(2):175-179
  • Nishikant Taksande, Anu Sharma, Cini Varghese, Seema Jaggi and S. B. Lal (2012). Web-enabled software for Generation and Analysis of Partial Diallel Crosses, Journal of Indian Society of Agricultural Statistics, 66(2), 343-350.
  • Singh Nripendra V., Singh Sanjay K., Singh Anand K.,Meshram Deodas T.,Surosh Sachin S. and Mishra Dwijesh C. (2012), “Arbuscular Mycorrhizal Fungi (AMF) induced hardening of micropropagated pomegranate (Punica granatum L.) plantlets”, Scientia Horticulturae, Vol. 136, pg. 122-127.
  • Islam Shahnawazul, Kundu Sushila, Shoran Jag, Sabir Naved, Sharma Kirti, Farooqi Samir, Singh Randhir, Agarwal Hari Om, Chaturvedi K.K., Sharma R.K. and Sharma A.K. “Selection of wheat (Triticum aestivum) variety through expert system” Indian Journal of Agricultural Sciences 82 (1): 43–7, January 2012.
  • Dash, S., Wahi, S.D., Rao, A.R. (2012). Classification of maize genotypes by artificial neural network based method: Self Organizing Feature Map, Indian Journal of Agricultural Sciences, 82(2), 162-163.
  • Sanjeev Panwar, Anil Kumar, K.N. Singh, Md. Samir Farooqi, and Abhishek Rathore (2012), “Nonlinear regression techniques for analysis of onion (Allium cepa) production in India” Indian Journal of Agricultural Sciences 82 (12): 1051-4, December.
  • Dahiya, Shashi, Jaggi, Seema, Chaturvedi, K.K., Bhardwaj, Anshu, Goyal, R.C. and Varghese, Cini. (2012). An eLearning System for Agricultural Education”. Indian Research Journal of Extension and Education. Volume 12(3). pg. 132-135, Sept. 2012. (NAAS 3.5).
  • Shrivastava, A., Babbar, A., Prakash, V., Tripathi, N and Iquebal, M. A. (2012). Genetic and molecular diversity analysis for improvement of chickpea (Cicer arietinum L.) genotypes grown under rice fallow. Journal of Food Legume, 25(2), 147-150.
  • Iquebal, M. A., Ghosh, Himadri and Prajneshu (2012). Genetic algorithm optimization technique for linear regression models with heteroscedastic errors. Indian Journal of Agricultural Sciences, 82(5), 422-425.
  • Sarkar, R.K., Rao, A.R., Wahi, S.D. and Bhat, K.V. (2012). Performance of clustering procedures for grouping germplasms based on mixture data with missing observations. Indian Journal of Agricultural Sciences, 82(12), 1055-1058.
  • Intelligent Systems Design and Applications during 27-29 Nov. 2012 at CUSAT, Kochi (India). ISBN: 978-1-4673-5118-8 2012 IEEE Explore. pg. 746-751.
  • Sharma, Meera, Bedi, Punam Chaturvedi, K.K. and Singh, VB, (2012). “Predicting the Priority of a Reported Bug using Machine Learning Techniques and Cross Project Validation” in Proceedings of 12th International Conference on Intelligent Systems Design and Applications during 27-29 Nov. 2012 at CUSAT, Kochi (India). ISBN:978-1-4673-5118-8 2012 IEEE Explore. pg. 539-545.

(2011)

  • Sahu TK, Rao AR, Singh A, Behera BK, Mohapatra T. (2011). In silico identification of residues for anoxia tolerance across species. Online J. Bioinformatics, 12(1), 175-197.
  • Sarkar, R.K., Rao, A.R., Wahi,S.D. and Bhat, K.V. (2011). A comparative performance of clustering procedures for mixture of qualitative and quantitative data – An application to black gram. Plant Genetic Resources – Characterization and Utilization, 9(4), 523–527.
  • Farooqi Mohammad Samir, Arora Alka, Dahiya Shashi, Rai Anil and Singh Balbir (2011). PERMISnet-II: Personnel Management Information System Network – II for Indian Council of Agricultural Research, Journal of the Indian Society of Agricultural Statistics, Vol.65(1), 105-113.
  • Rai Anil, Bhati Jyotika and Lal S.B. (2011) : Analytical tools and resources in Bioinformatics Eds.AJIT KUMAR ROY, New India Publishing Agency, New Delhi.
  • Anil Rai, S B Lal, Anu Sharma, Samir Farooqi, Hukum Chandra, A R Rao, Seema Jaggi (2011), Leaflet Brochure on National Agricultural Bioinformatics Grid, IASRI Publication.
  • Wahi, S.D. and Rao, A.R. (2011). Some investigations on sampling variance of genetic correlation. The IUP Journal of Genetics & Evolution, 4(2), 27-44.
  • Rai Anil, Bhati Jyotika and Lal S.B. (2011) : Analytical tools and resources in Bioinformatics Eds.AJIT KUMAR ROY, New India Publishing Agency, New Delhi.

(2010)

  • Meher P.K., Rao, A.R., Wahi, S.D. and Jaggi, Namita (2010). Detection of Multivariate Outliers in Breeding Data. International Journal of Statistics and System, 5(4), 527-535.
  • Shukla, Rajesh, Rai Anil and Nitasha Monga (2010) India Protection Index: An Objective Measurement of the Economic and Social Well-being of the Indian Population. Margin-The Journal of Applied Economic Research 4 (3), 339–36.
  • Rao, AR, Choudhary, SK, Wahi, SD and Prabhakaran, V.T. (2010). An index for simultaneous selection of genotypes for high yield and stability under incomplete genotype x environment data. Ind. J. Genet., 70(1), 80-84.
  • Ahmad, T., Rai, A. and Singh, R. (2010). Statistical evaluation of development of village’s potential for agro forestry using GIS. Adv. Appl. Res., 2(2), 157-163.
  • Rai Anil, Chaturvedi K.K, Bhatia V.K. and Ramasubramanian V. (2010): Impact Assessment of Information and Communication Technology on Food Grain Production in India . Evaluation and Impact Assessment of Technologies and Developmental Activities in Agriculture, Fisheries and Its Allied Field Eds.AJIT KUMAR ROY, New India Publishing Agency, New Delhi.

Training Programs 

   National Training(Completed)

SL. NO. NAME OF THE TRAINING TYPE OF TRAINING VENUE DURATION
1. कृषि में जैवसूचना का उपयोग(Application of Bioinformatics in Agriculture 
Program Co-ordinator: Dr. Sarika:
Co-Course Coordinator: Dr. Mir Asif Iquebal
Training programme ICAR-IASRI, New Delhi 27, June, – 29, June,2017
2. जैवसूँचना विज्ञान: एकपरिचय
Program Co-ordinator: Dr. D.C. Mishra
course Co-Cordinator: NeerajBudhalkoti
Training Programme ICAR-IASRI, New Delhi 24 May, – 26, May ,2017
1. Computational Approaches for Next Generation Sequencing (NGS) Data Analysis in Agriculture 
Program Co-ordinator: Dr. Mir Asif Iquebal
Co-Course Coordinator: Dr. Sarika:
Training programme ICAR-IASRI, New Delhi 8, February – 28, February, 2017
3. Advance Computational and Statistical Tools for Omics Data Analysis 
Program Co-ordinator: Dr. S.B. Lal
Program Co-coordinator: Dr. K. K. Chaturvedi
Capacity Advanced Faculty Training (CAFT) ICAR-IASRI, New Delhi 01, December, – 21, December,2016
4. Training on Introduction to Bioinformatics
Program Co-ordinators: Dr. D.C. Mishra,
Dr. Monendra Grover
Funded by ICAR ICAR-IASRI, New Delhi 08, November –  21, November,  2016
5. Centre of Advance Faculty Training on Computational Tools and Techniques for Molecular Data Analysis in Agriculture
Course Director: Dr. Dinesh Kumar
Course Coordinators: Dr. Sarika
Funded by ICAR ICAR-IASRI, New Delhi 11, February – 02, March, 2016
6. Training on Recent advances in Next Generation Sequencing Data Analysis
Course Director: Dr. Monendra Grover
Funded by ICAR ICAR-IASRI, New Delhi 08, January  – 18, January,  2016
7. Bioinformatics and High Dimensional Genome Data Analysis
Course Director: Dr. A R Rao
Winter School Training -(Funded by ICAR) ICAR-IASRI, New Delhi 25, November  – 15, December, 2015.
8. Advances in Omics Data Analysis: Learning by examples
Course Director: Sh. Sanjeev Kumar
Course Co-Director: Sh. S.B. Lal, Dr. D.C. Mishra
Capacity Advanced Faculty Training (CAFT) ICAR-IASRI, New Delhi 03, December-23 December, 2014
9. Network Administration 
Course Co-ordinator: Jai Bhagwan
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 01, September –  03, September, 2014
10. Network Security 
Course Co-ordinator: Jai Bhagwan
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 25 August – 29 August, 2014
11. Advanced Training in Discovery Studio
Course Director: Mir Asif Iquebal
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 17 June – 21 June, 2014
12. SAS Training program on different modules
Course Director: Md. Samir Farooqi
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 26 May – 19 June, 2014
13. Oracle Database 11g: Administration
Course Co-ordinator: K.K.Chatruvedi
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 19 May – 23 May, 2014
14. High Performance Computing ICAR-IASRI and C-DAC, Pune ICAR-IASRI, New Delhi 12 May – 17 May, 2014
15. Basic Training in Discovery Studio National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 1 May – 3 May, 2014
16. Computational Aspect for NGS Data Analysis: A Sojourn form Lab to Field
Course Director: Dinesh Kumar
CourseCourse Co-ordinators: Mir Asif Iquebal, C. G. Joshi (Anand, AAU)
Capacity Advanced Faculty Training(CAFT) Ome Research Facility, Anand Agricultural University, Anand, Gujarat 4 March – 13 March, 2014
17. HPC User Training
Course Co-ordinator: Jai Bhagwan
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 17 February – 26 February, 2014
18. Computational and Statistical Advances in Bioinformatics for omics Data
Course Director: S.B. Lal
Course Co-ordinators: K. K. Chatruvedi, Sanjeev Kumar
Capacity Advanced Faculty Training (CAFT) ICAR-IASRI, New Delhi 21 January – 10 February, 2014
19. CLC-Bio Software Advanced User Training Programme
Organized by CLCBio, Denmark
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 29 October – 01 November, 2013
20. HPC Administration Training
Course Co-ordinator: Jai Bhagwan
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 21 – 25 October, 2013
21. CLC Genomics Workbench
Organized by CLC-Bio, Denmark
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 26 – 30 August, 2013
22. CLC-Bio Software
Organized by CLCBio, Denmark
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 02 – 06 July, 2013
23. Data Analysis using SAS
Course Director: Ramasubramanaian V.
Course Co-ordinators: Samir Farooqi;
Rajesh Sharma, Vipin Ladha (SKRAU, Bikaner)
National Agricultural Innovation Project (NAIP) Training SKRAU, Bikaner 04 – 09 March, 2013
24. Statistical Approaches for Genomic Data Analysis
Course Director: Seema Jaggi
Course Co-ordinator: Sarika
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 07 – 19 January, 2013
25. Strengthening Statistical Computing for NARS
Course Co-ordinators: Samir Farooqi, D.C. Mishra
National Agricultural Innovation Project (NAIP) Training NBAIM, Mau 22 – 24 November, 2012
26. Recent Advances on Quantitative Genetics and Statistical Genomics
Course Director: A.R. Rao
Summer/Winter School Training ICAR-IASRI, New Delhi 06 – 26 November, 2012
27. Statistical Models for Forecasting in Agriculture
Course Director: Ramasubramanaian V.
Course Co-ordinator: Mir Asif Iquebal
Capacity Advanced Faculty Training (CAFT) ICAR-IASRI, New Delhi 11 September – 01 October, 2012
28. Recent Advances in Statistical and Computational Genomics Data Analysis
Course Director: A.R. Rao
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 19 – 28 March, 2012
29. Data Mining using SAS
Course Director: Rajender Parsad
Course Co-ordinators: Samir Farooqi, Anshu Bharadwaj
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 06 – 11 February, 2012
30. High Performance Bio-Computing and Drug Design
Association with Super Computing Facility for Bioinformatics and Computatioal Biology (SCFBIO)
National Agricultural Innovation Project (NAIP) Training IIT, New Delhi 12 – 22 September, 2011
31. Bioinformatics in Agriculture
Course Director: S.B. Lal
Capacity Advanced Faculty Training (CAFT) ICAR-IASRI, New Delhi 29 August – 07 September, 2011
32. Computational Genome Analysis using ANVAYA
Association with Bioinformatics Group of C-DAC, Pune
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 22 – 24 June, 2011
33. Bioinformatics Resources and Tools for Agricultural Research
Course Director: S.B. Lal
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 24 – 29 January, 2011
34. Statistical and Computational Genomics Data Analysis
Course Director: A.R. Rao
National Agricultural Innovation Project (NAIP) Training ICAR-IASRI, New Delhi 11 – 21 January, 2011

Upcoming Trainings

SL. NO. NAME OF THE TRAINING TYPE OF TRAINING VENUE DURATION
1. Recent Advances of Bioinformatics in Agriculture: A Practical Perspective 
Course Coordinator : D.C Mishra
E-Mail:-dwijesh.mishra@icar.gov.in
Course co-Coordinator :   Neeraj Budhlakati
E-Mail:-neeraj.budhlakoti@icar.gov.in
Human Resource Management Unit ICAR – IASRI, New Delhi 1st December – 21st December 2017
2. Computational and Statistical Advances for analysis of Biological Data in Agriculture(CAFT) 
Course Coordinator : Dr. Anu Sharma
E-Mail:-anu.sharma@icar.gov.in
Co-Course Coordinator :  Dr. S.B. Lal
E-mail:-sb.lal@icar.gov.in
Centre for Advanced Faculty Training. ICAR – IASRI, New Delhi 18th January – 7th February 2018
3. Application of OMICS Tools and Agriculture Germplasm improvement(CAFT) 
Course Coordinator : Dr. Sarika
E-Mail:- sarika@icar.gov.in
Course co-Coordinator:  Dr. Mir Asif Iquebal
E-Mail:- ma.iquebal@icar.gov.in
Centre for Advanced Faculty Training. ICAR – IASRI, New Delhi 9th February – 3rd March 2018

Scientific Staff

Technical Staff

Santosh Kumar Upadhyay

Santosh Kumar Upadhyay

Chief Technical Officer

Santosh.kumar@icar.gov.in

Ext. 4339

Smt. Uma

Smt. Uma

Assistant Chief Technical Officer

uma41163@icar.gov.in

Ext. 4322

Smt. Manjeet Kaur

Smt. Manjeet Kaur

Assistant Chief Technical Officer

manjeet.kaur@icar.gov.in

Ext. 4340

Jai Bhagwan

Jai Bhagwan

Senior Technical Officer (IT)

jai.kharb@icar.gov.in

Ext. 4339

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