1. 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]
2. 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).
3. 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).
4. V. 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.
5. M.Grover (2014) Brassinosteroid synthesis as context sensitive language acceptance problem, International journal of Computer Science and Engineering, 6:118-120,
6. 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.
7. S. 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
8. 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.
9. 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.
10. 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.
11. N. 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
12. M. 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
13. M. Grover, S. Kumar, R. Kumar and R. Singh (2014) Multi-party Quantum Communication in biological Cells , Intl. J Comp. Sc. Engg., 6:207-208
14. M. 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
15. M. Grover and R Kumar (2014) The role of Quantum computation in molecular interactions in biological cells , Intl. J Comp. Sc. Engg., 6:219-220
16. M. Grover and R Kumar (2014) Quantum Computation and Intuition in living organisms , Intl. J Comp. Sc. Engg., 6: 209-210
17. 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).
18. Md. 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.
19. 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]
20. 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).
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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
29. 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).
30. 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.
31. 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.
32. 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.
33. 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

National Journals

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.