Mr. Prabina Kumar Meher

Name

Mr. Prabina Kumar Meher

Ongoing

S. No.Project  titleDurationProject leader* and associates
1Gene selection for classification of crop gene expression data30.10.2015 to 19.10.2018Samarendra Das, **P.K. Meher, R.K. Paul and Prakash Kumar
2Elucidating the mechanism of pashmina fibre development: An OMICS approach. (External funded)01.07.2015 to 30.06.2018SKUST: Nazir A. Ganai, NDRI : Jai K. Kaushik, IASRI: A.R.Rao, P.K. Meher

Completed

S. No.Project titleProject leader* and associates
1Estimation of Breeding Value Using Longitudinal Data (2016)*U.K. Pradhan, P.K. Meher, A.R. Rao and A.K. Paul
2A study on sequence encoding based approaches for splice site prediction in agricultural species*P.K. Meher, Prakash Kumar and A.R. Rao

E-mail

Prabina.meher@icar.gov.in

Designation

Scientist

Awards
  • G.R. Seth Memorial Young Scientist Award from Indian Society of Agricultural Statistics, 2016.
  • MN Das Memorial Young Scientist appreciation certificate from Society of Statistics, Computers and Applications for the year 2016-17.
  • Nehru Memorial Gold Medal from Indian Agricultural Statistics Research Institute, 2010.
  • V.R. Murthy Award from Indian Agricultural Statistics Research Institute, 2010.
  • ICAR Junior Research Fellowship (2007-2009).
  • INSPIRE fellowship from Department of Science and Technology (DST), Ministry of Science and Technology, Government of India (2009-2012).
Articles
  1. Meher P.K., Sahu TK., Banchariya A. and Rao AR. (2017). DIRProt: A computational approach for discriminating insecticide resistant proteins from non-resistant proteins. BMC Bioinformatics, 18: 190.
  2. Meher, P.K., Sahu,T.K., Saini, V. and Rao, A.R. (2017). Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC. Scientific Reports 7, 42362.
  3. 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.
  4. 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, 592: 316–324.
  5. 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 Biology404: 285–294.
  6. Meher, P.K., Sahu, T.K. and Rao, A.R. (2016). Prediction of donor splice sites using random forest with a new sequence encoding approach. BioData Mining, 9: 4.
  7. 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.
  8. 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.
  9. Jaiswal, V., Gahlau,t 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 ( aestivum l.). PLoS ONE11(7): e0159343.
  10. Das S, Meher P.K, Rai A, Bhar L.M and Mandal B.N. (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.
Skip to toolbar