Dr.  Rai, A.
Dr. Rai, Anil
Head & Professor
anil.rai@icar.gov.in, anilrai64@gmail.com
Citations and H index

Research Interest

  • Survey Sampling and policy research
  • Applications of geo-informatics/ spatial models/ statistics in agricultural surveys.
  • Development of models/methodologies/procedures/tools/ datamining algorithms for analysis of statistical/biological/omics data.
  • Design and development of efficient computational and informatics solutions for management and analysis large statistical/biological/omics data sets using AI/ML/DL.
  • Design and development of biological/genomics data bases/data warehouse and web resources for omics data analysis.
  • Modeling and analysis of data from large scale image data using image analysis techniques.

Teaching and Research Guidance

  • Ph.D. (Bioinformatics)
  • Ph.D. (Ag. Statistics)
  • M.Sc. (Bioinformatics)
  • M.Sc. (Computer Applications)
  • M.Sc. (Ag. Statistics)
  • Initiated Post- Graduate program i.e. M.Sc. and Ph.D. in Bioinformatics in P.G School, IARI, New Delhi.
  • Designed courses on Statistical Sciences, Geo-informatics, Data Warehousing and Mining.
  • Professor, Bioinformatics, P.G. School, IARI, New Delhi
  • Member of national level committees including Board Subject Matter Academic Council (BSMA), of P.G. School IARI, New Delhi.

Important Projects

  • Centre for Agricultural Bioinformatics (CABin) Scheme

  • Establishment of National Agricultural Bioinformatics Grid in ICAR
  • Integrated National Agricultural Resources Information System
  • Knowledge Warehouse - System for Management of Agricultural Research and Technologies
  • Risk Assessment and Insurance Products for Agriculture
  • A Study of Land Use Statistics through Integrated Modeling Using GIS
  • Development of Remote Sensing based Methodology for collection of Agricultural Statistics in North Eastern states

  • Development of GIS based Technique for Identification of Potential Agro-forestry Area
  • Assessment of Harvest and Post-Harvest Losses in India
  • Prioritization of Rainfed Area in the Country
  • Visioning, Policy Analysis and Gender(V-PAGe) Sub Program II: Technology Forecasting
  • A Pilot Study to Develop an Alternate Methodology for Estimation of Area and Production of Horticultural Crops

  • Development of India Protection Quotient Manual of Crop Area and Production
  • Chi square test in Survey Data
  • Estimation of Regression Coefficient for Sample Survey Data
  • A Study of Agroforestry in Chhachhroli Block of Yamuna Nagar District
  • Phenomics of Moisture Deficit Stress Tolerance and Nitrogen Use Efficiency in Rice and Wheat – Phase II
  • ICAR Consortium Research Platform on Genomics project entitled “Computational and Analytical Solutions for High-throughput Biological Data”- ICAR-IARI, New Delhi

  • ICAR Network Project on Functional Genomics and Genetic Modification (Earlier ICAR Network Project on Transgenic in Crops-II.
  • Centre for Agricultural Bioinformatics (CABin) Scheme: Network Project on Agricultural Bioinformatics and Computational Biology.
  • Integrated sample survey solution for major livestock products.
  • Development of Gender Information System for Agriculture(Collaboration with Directorate of Research for Women in Agriculture, Bhubneshwar)
  • Modeling Network of Gene Responses to Abiotic Stress in Rice
  • ICAR-Network Project on Transgenic in crops (NPTC)
  • Risk Asessment and Insurance Products for Agriculture

Copyright Received

Sl. No. Title Year Copyright Registration Number / Country
1. Knowledge Data Warehouse for Agricultural Research (KWAR) 2013 SW-7396/2013 India
2. Web based Software for Survey Data Analysis (SSDA 2.0) 2013 SW-7576/2013 India
3. Develop an Alternative Methodology for Estimation of Cotton Production 2017 L-64737/2017 India
4. Study to Investigate the Causes of Variation between Official and Trade Estimates of Cotton Production 2017 L-64996/2017 India
5. Data Entry Software for estimation of harvest and post-harvest losses of crop/commodities 2017 SW-9295/2017 India
6. Pilot Study to Develop an Alternative Methodology for Estimation of Area and Production of Horticultural Crops 2017 L-71033/2017 India
7. PipeMicroDb: Pigeonpea Microsatellite Database http://webapp.cabgrid.res.in/pigeonpea/ 2018 SW-10687/2018 India
8. TaSSRDb: Triticum aestivum SSR Database http://webtom.cabgrid.res.in/wheatssr/ 2018 SW-11115/2018 India
9. TomSatDb: Tomato Microsatellite Database http://webapp.cabgrid.res.in/tomsatdb/ 2018 SW-10689/2018 India
10. TamiRPred: Putative miRNA Discovery and its Target Identification tool for Wheat (Triticum aestivum L.) http://webtom.cabgrid.res.in/tamirpred/index.php 2018 SW-10685/2018 India
11. VISTa: Variety Identification System for Triticum aestivum (Wheat) software http://webtom.cabgrid.res.in/vista/ 2018 SW-10795/2018 India
12. Buffsatdb: Buffalo Microsatellite Database http://webapp.cabgrid.res.in/buffsatdb/ 2018 SW-10802/2018 India
13. Antimicrobial Prediction server for cattle: http://webapp.cabgrid.res.in/amp/ 2018 SW-10688/2018 India
14. Antimicrobial Prediction server for Fish http://webapp.cabgrid.res.in/fishamp/ 2018 SW-10838/2018 India
15. GoSatDb: Goat Microsatellite Database http://webapp.cabgrid.res.in/goat/ 2019 SW-12452/2019 India
16. CnTDB: Coconut Transcriptome Database http://webtom.cabgrid.res.in/cntdb/ 2019 SW-12454/2019 India
17. BanSatDB: Banana Microsatellite Database with primer generation tool http://webtom.cabgrid.res.in/bansatdb/ 2019 SW-12639/2019 India
18. OGR: The Onion Genomic Resource http://webtom.cabgrid.res.in/ogr/ 2019 SW-12641/2019 India
19. SCMVTDb : Small Cardamom Mosaic Virus Transcriptome Database http://webtom.cabgrid.res.in/scmvtdb/ 2019 Applied for copyright
20. BPDRTDb: Black Pepper Drought Transcriptome Database http://webtom.cabgrid.res.in/bpdrtdb/ 2019 Applied for copyright
21. Cattle Genomic Resource Information System(CGRIS) 2021 SW-14070/2021 India
22. Levidb: Genomics of Virus in Legume Crops http://webtom.cabgrid.res.in/levidb/ 2021 SW-26751/2021 India
23. BrassicaSatDb: Brassica Microsatellite Database http://webapp.cabgrid.res.in/brassica/ 2021 SW-26753/2021 India
24. Millet SSR Database http://webtom.cabgrid.res.in/millet_ssr_db 2021 SW-26755/2021 India
25. VmTDB: Vigna mungo Transcriptome database http://webtom.cabgrid.res.in/vmtdb/ 2021 SW-26754/2021 India
26. SmTCRD: Transcriptome based Chirkey Virus Database in Small Cardamom http://webtom.cabgrid.res.in/smtcrd/ 2021 SW-26756/2021 India
27. PlantSSRDb: Unifying easy FDRs and SSR-FDMs Database http://webtom.cabgrid.res.in/plantssr/ 2021 SW-26748/2021 India

Foreign Visit

  • Ministry of Agriculture, Sri Lanka (FAO Consultant)
  • IOWA State University of Sciences and Technology, USA
  • European Bioinformatics Institute, U.K.
  • Swiss Institute of Bioinformatics, Switzerland
  • Oracle University, San Francisco, California, USA
  • Visited “Central Statistical Office (CSO), Lusaka Zambia” under FAO Rome project for imparting training to enumerators and officials involved in field testing of guidelines on estimation of losses of meat and milk, preparation of questionnaire for field data collection, pre-testing of the questionnaire, from September 23-29, 2018

Awards and Honours

  • National Academy of Agricultural Sciences (NAAS) Fellow Award (2019), National Academy of Agricultural Sciences, New Delhi
  • Best Teacher Award of National Agricultural Higher Education (2020), ICAR-Indian Agricultural Research Institute, New Delhi
  • Jawahar Lal Nehru Award for best contribution in the field of Social Sciences (1993), Indian Council of Agricultural Research, New Delhi
  • Young Scientist Award (1993), Indian Society of Agricultural Statistics, New Delhi
  • Team Award (2014), Indian Society of Agricultural Engineering
  • SP Dhall Distinguished Publication Award in Statistics, Society for Advancement of Human and Nature (SADHNA), Dr. YS Parmar University of Horticulture and Forestry, Nauni HP.
  • First/ Best Research Paper Award in eight National and International Conferences.
  • In-charge of Institute Library


  • Food and Agriculture Organization (UNO) , Rome
  • Food and Agriculture Organization (UNO) to Government of Sri-Lanka
  • Central Statistical Organizations (CSO), Government of India, New Delhi
  • Afro-Asian Rural Development Organization, New Delhi.
  • National Council of Applied Economics Research, New Delhi.
  • National Building Organization Ministry of Housing and Urban Poverty Alleviation, Government of India
  • National Rainfed Agricultural Authority (NRAA), Ministry of Agriculture, Government of India
  • Indian Council of Forest Research and Education, Ministry of Forest and Environment, Government of India, New Delhi.

Member of Scientific Society

  • Life member of National Academy of Agricultural Sciences
  • Life member of Indian Society of Agricultural Statistics, New Delhi
  • Life member Indian Society of Remote Sensing, Dehradun
  • Life member Computer Society of India, New Delhi
  • Life member of Indian Science Congress Association, Kolkatta
  • Life member of Indian Society of Agricultural Sciences, New Delhi
  • Indian Economic Research Association, New Delhi

Editors of Journals

  • Associate Editor of Journal of Indian Society of Agricultural Statistics, New Delhi.
  • Member of Editorial Board in Journal of Agricultural Sciences.
  • Reviewed/refereed research articles of various national and international journals.

Important Publications

  • Madival, S. D., Mishra, D.C., Sharma, A., Kumar, S., Maji, A. K., Budhlakoti, N., Sinha, D., & Rai, A.. (2022). A Deep Clustering-based Novel Approach for Binning of Metagenomics Data. Current Genomics, 23(5), 353-368.iconpdf

  • Budhlakoti, N., Mishra, D.C., Majumdar, S.G., Kumar, A., Srivastava, S., Rai, S.N. and Rai, A.. Integrated Model for Genomic Prediction under Additive and Non-Additive Genetic Architecture. Frontiers in Plant Science, 13:1027558. iconpdf

  • Jaiswal, S., Aneja, B., Jaisri J., Pandey, B., Chhokar, R.S., Gill, S.C., Ahlawat, O.P., Kumar, A., Angadi, U.B., Rai, A., Tiwari, R., Iquebal, M.A., Kumar, D. (2022) Unveiling wheat microbiome under varied agricultural field conditions. Microbiology Spectrum iconpdf

  • Murmu, S., Chaurasia, H., Guha Majumdar, S., Rao, A.R., Rai, A., & Archak, S. (2022). Prediction of protein–protein interactions between anti-CRISPR and CRISPR-Cas using machine learning technique. Journal of Plant Biochemistry and Biotechnology iconpdf

  • Pathak,J., Ramasamy, G.G, Agrawal, A., Srivastava, S., Basavaarya, B.R., Muthugounder, M., Muniyappa, V.K, Maria, P., Rai, A. and Venkatesan, T. (2022). Comparative Transcriptome Analysis to Reveal Differentially Expressed Cytochrome P450 in Response to Imidacloprid in the Aphid Lion, Chrysoperla zastrowi sillemi (Esben-Petersen). Insects 2022, 13, 900. iconpdf

  • Dasmandal, T., Mishra, D.C. and Rai, A.(2022). Role of Bioinformatics in the Development of Plant Genetic Resources. Indian J. Plant Genet. Resour. 35(3): 200–203 (2022) DOI 10.5958/0976-1926.2022.00069.9

  • Dey, S.S., Sharma, P., Das M., Anilabha, Jaiswal, S., Behera, T.K., Kumari, K., Boopalakrishnan, G., Iquebal, M.A., Bhattacharya, R.C., Rai, A., Kumar, D.(2022) Genome wide identification of lncRNAs and circRNAs having regulatory role in fruit shelf life in health crop cucumber (Cucumis sativus L.). Frontiers in Plant Science iconpdf

  • Jain, P., Singh, A., Iquebal, M.A., Jaiswal, S., Kumar, Sundeep, Rai, A., Kumar, D.(2022) Genome-wide analysis and evolutionary perspective of cytokinin dehydrogenase gene family in wheat (Triticum aestivum L.). Frontiers in Genetics.iconpdf

  • Kumar, B., Kumar, A., Jaiswal, S., Iquebal, M.A., Angadi, U.B., Tomar, R.S., Rai, A., Kumar, D. (2022) Genome-wide identification of long non-coding RNAs in pearlmillet (Pennisetum glaucum (L.)) genotype subjected to drought stress. MDPI Agronomy (2073-4395) iconpdf

  • Iquebal, M.A., Jagannadham, J., Jaiswal, S., Prabha, R., Rai, Anil and Kumar, D. (2022). Potential use of microbial community genomes in various dimensions of agriculture productivity and its management: A review. Frontiers in Microbiology iconpdf

  • Negi, A., Singh, K., Jaiswal, S., George, J. K., Angadi, U.B., Iquebal, M.A., Umadevi P., Rai, A., Kumar, D. (2022) Rapid genome wide location specific polymorphic SSR markers in black pepper genotypes by GBS approach. Frontiers in Plant Science iconpdf

  • Paul, S., Duhan, J.S., Jaiswal, S., Angadi, U.B., Sharma, R., Raghav, N., Gupta, O.P., Sheoran, S., Sharma, P., Singh, R., Rai, A., Singh, G.P., Kumar, D., Iquebal, M.A., Tiwari, R. (2022) RNA-Seq analysis of developing grains of wheat to intrigue into the complex molecular mechanism of the heat stress response. Frontiers in Plant Science. iconpdf

  • Agrawal, A., Ramasamy, G.G., Pathak, J., Nayyar, N., Muthugounder, M., Maria, P., Rai, A. and Thiruvengadam, V. (2022). Deciphering the Molecular Mechanisms of Insecticide Resistance From the Transcriptome Data of Field Evolved Spinosad Resistant and Susceptible Populations of Plutella xylostella (Lepidoptera: Plutellidae). Journal of Economic Entomology, XX(XX), 2022, 1–11 (IF 2.38) iconpdf

  • Parida, P.K., Behera, B.K, Dehury, B., Rout, A.K, Sarkar, D.J., Rai, A., Das, B.K. and Mohapatra, T.(2022) Community structure and function of microbiomes in polluted stretches of river Yamuna in New Delhi, India, using shotgun metagenomics. Environmental Science and Pollution Research, ( IF 4.22) iconpdf

  • Behera, B.K., Sahu, P., Rout, A.K., Parida, P.K., Sarkar, D.J., Kaushik, N.K., Rao, A.R., Rai, A., Das, B.K., and Mohapatra. T. (2022). Exploring microbiome from sediments of River Ganga using a metagenomic approach. Aquatic Ecosystem Health & Management, 24(4): 12–22, 2021. (IF 0.807) iconpdf

  • Vinaykumar L.N., Ahmad, T., Rai, A. and Biswas, A. (2022). Rescaling Bootstrap Variance Estimation of Level-0 Ranked Set Sampling under Finite Population Framework. Journal of the Indian Society of Agricultural Statistics 75(3) 2021 203–21. iconpdf

  • Khan, A., Singh, K., Jaiswal, S., Raza, M., Jasrotia, R.S., Kumar, A., Gurjar, A.K.S, Kumari, J., Nayan, V., Iquebal, M.A., Angadi, U.B., Rai, A., Datta, T.K. and Kumar, D. (2022) Whole-Genome-Based Web Genomic Resource for Water Buffalo (Bubalus bubalis). Front. Genet. 13:809741. iconpdf

  • Dhillon, M. K., Jaba, J., Mishra, P., Iquebal, M.A., Jaiswal, S., Tanwar, A.K., Bharat kumar, N., Arora, N., Mishra, S.P., Prasad, G.S., Hasan, F., Rai, A., Kumar, D., and Sharma, H.C (2022) Whole genome sequencing of spotted stem borer, Chilo partellus reveals multiple genes encoding enzymes for detoxification of insecticides. Functional and Integrative Genomics. iconpdf

  • Sinha, D., Sharma, A., Mishra, D.C., Rai, A., Lal, S.B., Kumar, S., Farooqi, Md.S., Chaturvedi K. K. (2022). MetaConClust - Unsupervised Binning of Metagenomics Data Using Consensus Clustering. Current Genomicsiconpdf

  • Nayan, V., Singh, K., Iquebal, M.A., Jaiswal, S., Bhardwaj, A., Singh, C., Bhatia, T., Kumar, S., Singh, R., Swaroop, M.N., Kumar, R., Phulia, S.K., Bharadwaj, A., Kumar, D., Datta, T.K., Rai, A. (2022) Genome-wide DNA methylation and its effect on gene expression during subclinical mastitis in water buffalo. Frontiers in Genetics. iconpdf

  • Kumara, P.N., Sharma, P.K., Munshi, A.D., Behera, T.K., Bhatia, R., Kumari, K., Singh, J., Bhattacharya, R.C., Jaiswal, S., Iquebal, M.A., Arora, A., Rai, A., Kumar, D., Dey, S.S. (2022). Fruit transcriptional profiling of the contrasting genotypes for shelf life reveals the key candidate genes and molecular pathways regulating post-harvest biology in cucumber. Genomics. iconpdf

  • Sheoran, S., Jaiswal, S., Raghav, N., Sharma, R., Sabhyata, Gaur, A., Jaisri J., Tandon, G., Singh, S., Sharma, P., Singh, R., Iquebal, M.A., Angadi, U.B., Gupta, A., Singh, G., Singh, G.P., Rai, A., Kumar, D., Tiwari, R. (2022) Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat. Frontiers in Plant Science. iconpdf

  • Mishra, D.C., Arora, D., Budhlakoti, N., Solanke, A.U., Mithra, S., Kumar, A., Pandey, P.S., Srivastava, S., Kumar, S., Farooqi, M.S., Lal, S.B., Rai, A., & Chaturvedi, K.K. (2022). Identification of Potential Cytokinin Responsive Key Genes in Rice Treated With Trans-Zeatin Through Systems Biology Approach. Frontiers in genetics, 12, 780599.iconpdf

  • Kumar, S., Bhati, J., Saha, A., Lal, S.B., Pandey, P.K., Mishra, D.C., Farooqi, M.S., Kumar, A., Chaturvedi, K.K., Rai, A.(2022). CerealESTDb: A comprehensive resource for abiotic stress responsive annotated ESTs with predicted genes, gene ontology and metabolic pathways in major cereal crops. Frontiers in Genetics, section Plant Genomics. iconpdf

  • Kumar, R.R., Ahuja, S., Rai, G.K., Kumar, S., Mishra, D.C, Kumar, S.N., Rai, A., Singh, B., Chinnusamy, V., Praveen, S. (2022). Silicon triggers the signalling molecules and stress-associated genes for alleviating the adverse effect of terminal heat stress in wheat with improved grain-quality. Acta Physiologiae Plantarum. 44, 30 (2022). iconpdf

  • Budhlakoti, N., Kushwaha, A.K., Rai, A., Chaturvedi, K.K., Kumar, A., Pradhan, A.K., Kumar, U., Kumar, R.R., Juliana, P., Mishra, D.C., Kumar, S. (2022). Genomic Selection: A Tool for Accelerating the Efficiency of Molecular Breeding for Development of Climate Resilient Crops. Frontiers in Genetics, section Plant Genomics. iconpdf

  • Karkute, S.G., Kumar, V., Tasleem, M., Mishra D.C., Chaturvedi, K.K., Rai, A., Sevanthi, A.M., Gaikwad, K., Sharma T.R., Solanke A.U. (2022). Genome-Wide Analysis of von Willebrand Factor A (vWA) Gene Family in Rice for Its Role in Imparting Biotic Stress Resistance with Emphasis on Rice Blast Disease. Rice Science. Vol 29. iconpdf

  • Sharma, N.K., Mishra, D.C., Farooqi, Md. S., Budhlakoti, N., Chaturvedi, K.K., Das, S., Kumar, A. and Rai, A.(2021). Algorithm for selection of informative genes using gene expression data. International Journal of Agricultural and Statistical Sciences. iconpdf

  • Varshney, N., Tauqueer A., Rai, A., Biswas, A., and Sahoo, P.M. (2021). Prediction approach estimator using auxiliary information under two-phase sampling. Int. J. Agricult. Stat. Sci. Vol. 17, No. 2, pp. 733-739, 2021 iconpdf

  • Iquebal, M.A., Mishra, P., Maurya, R., Jaiswal, S., Rai, A. and Kumar, D. (2021) Centenary of Soil and Air borne wheat Karnal bunt disease research: A Review. MDPI Biology, 10(11), 1152. iconpdf

  • Iquebal, M.A., Passari, Ajit Kumar, Jaisri J, Ahmad, Farzana, Deka, Pubajyoti, Jaiswal, S., Rai, A., Kumar, D., Singh, B.P., (2021). Microbiome of Pukzing Cave in India shows high antimicrobial activity against plant and animal pathogens. Genomics iconpdf

  • Sarkar, C. , Parsad, R. , Mishra, D.C. , and Rai, A. "A Web Tool for Consensus Gene Regulatory Network Construction." Frontiers in Genetics (2021):2194.| iconpdf

  • Kumar A., Mishra D.C., Angadi U.B., Yadav R.,Rai, A., Kumar D. Inhibition Potencies of Phytochemicals Derived from Sesame Against SARS-CoV-2 Main Protease: A Molecular Docking and Simulation Study. iconpdf

  • Sarkar, C., Parsad, R., Mishra, D.C., Rai, A. An ensemble approach for gene regulatory network study in rice blast. Journal of Crop and Weed. Volume 16(3). Page 1-8.iconpdf

  • Jaiswal, S., Jaisri J., Kumari, J., Iquebal, M.A., Gujjar, A.K.S., Nayan, V., Angadi, U.B., Kumar, S., Kumar, R., Datta, T.K., Rai, A., Kumar, D. (2021). Genome wide prediction, mapping and development of genomic resources of Mastitis associated genes in Buffalo. Frontiers in Veterinary Sciences. iconpdf

  • George, J.K., Shelvy, S., Fayad, M., Umadevi P, Angadi, U.B., Iquebal, M. A., Jaiswal, S., Rai, A., Kumar, D. (2021). Denovo transcriptome sequencing assisted identification of terpene synthases from black pepper (Piper nigrum) berry. Physiology and Molecular Biology of Plantsiconpdf

  • Mishra, D.C., Yadav, S., Sikka, P., Jerome, A, Paul, S.S., Rao, A.R., Budhlakoti, N., Bhati, J., Singh, K.P., Balhara, A.K., Singh, I., Rai, A., Chaturvedi, K.K.(2021). SNPRBb: Economically important trait specific SNP Resources of buffalo (Bubalus bubalis). Conservation Genetics Resources. iconpdf

  • George, J.K., Shelvy, S., Fayad, A.M., Angadi, U.B.,. Iquebal, M.A.,Jaiswal, S., Rai, A., Kumar, D. De novo transcriptome sequencing assisted identification of terpene synthases from black pepper (Piper nigrum) berry. Physiol Mol Biol Plants (2021). iconpdf

  • Angadi, U.B., Rai, A. & Uma, G. MBFerns: classification and extraction of actionable knowledge using Multi-Branch Ferns-based Naive Bayesian classifier. Soft Comput (2021). iconpdf

  • Iquebal, M.A., Jaiswal S., Singh, B.P., Prabha, R., Jasrotia, R.S., Angadi, U.B., Singh, D.P., Gupta, V., Rai, A. and Kumar, D. (2021). Fungal genomic resources for strain identification and diversity analysis of 1900 fungal species. Journal of Fungi. iconpdf

  • Farooqi, M.S., Kumar, D., Mishra, D.C., Rai, A.and Singh, N.K. (2021) ‘A hybrid method for differentially expressed genes identification and ranking from RNA-Seq data’, Int. J. Bioinformatics Research and Applications, Vol. 17, No. 1, pp.38–52 iconpdf

  • Agrawal, A., Venkatesan, T., Ramasamy, G.G, Syamala, R.R., Muthugounder, M., and Rai, A., (2020). Transcriptome alterations of field-evolved resistance in Pectinophora gossypiella against Bt Bollgard II cotton in India. J Appl Entomol. 2020;144:929–940. iconpdf

  • Budhlakoti, N., Rai, A., Mishra, D.C., Jaggi, S., Kumar, M., Rao A.R.,(2020). Comparative study of different non-parametric genomic selection methods under diverse genetic architecture. Indian Journal of Genetics and Plant Breeding. 80 (4), 395-401. iconpdf

  • Negi, A, George, Kokkat J, Jasrotia, R.S., Madhavan, S., Jaiswal, S., Angadi, U.B., Iquebal, M.A., Kalathil, Palliyarakkal M., Palaniyandi, U., Rai, A., Kumar D.Drought responsiveness in black pepper (Piper nigrum L.): Genes associated and development of a web-genomic resource. Physiol Plant. iconpdf

  • Anjan Kumar Pradhan, Sundeep Kumar, Amit Kumar Singh, Neeraj Budhlakoti,D.C. Mishra, Divya Chauhan, Shikha Mittal, Monendra Grover, Suneel Kumar, O.P. Gangwar, Subodh Kumar, Arun Gupta, S.C. Bhardwaj, Anil Rai, Kuldeep Singh (2020). Identification of QTLs/defense genes effective at seedling stage against prevailing races of wheat stripe rust in India. Front. Genet. 11: 572975. iconpdf

  • AnjumArfa, Jaggi Seema, Varghese Eldho, Lal Shwetank, Rai Anil, Bhowmik Arpan, Mishra Dwijesh Chandra, Sarika (2020). Mixture distribution approach for identifying differentially expressed genes in microarray data of Arabidopsis thaliana. Indian Journal of Agricultural Sciences 90 (10): 1975–9.

  • Majumdar Sayanti Guha, Rai Anil, Mishra Dwijesh Chandra (2020). Comparative Study of Statistical Models for Genomic Prediction. Journal of the Indian Society of Agricultural Statistics 74(2) 2020 91–98.

  • Rasal, Kiran D., Iquebal, Mir Asif, Dixit, Sangita, Vasam, Manohar, Jaiswal, Sarika, Sahoo, Lakshman, Jagannadham,Jaisri,Nandi, Samiran,Mahapatra, Kanta Das, Rasal, Avinash, Udit, Uday Kumar, Meher, Prem Kumar, Murmu, Khuntia, Angadi, UB, Rai, Anil, Sundaray, Jitendra Kumar and Kumar, Dinesh (2020). Revealing global transcriptional plasticity and modulation in metabolic pathways in liver of genetically improved carp, Jayantirohu, Labeorohita fed with high carbohydrate regime. International Journal of Molecular Sciences. iconpdf

  • R.K. Vishwakarma, S.N. Jha, Anil K. Dixit, Rai, Anil, Tauqueer Ahmad (2020). Estimation of Harvest and Post-Harvest Losses of Cereals and Effect of Mechanisation in Different Agro-Climatic Zones of India. Ind. Jn. of Agri. Econ. Vol.75, No.3, July-Sept.2020.

  • Kumar, R.R., Goswami, S., Rai, G.K., Jain, N., Singh, P.K.,Dwijesh Chandra Mishra, Chaturvedi, K.K, Kumar, S., Singh, B., Singh, G.P., Rai, A, Chinnusamy, V., Praveen, S. (2020). Protection from Terminal Heat Stress: a Trade-Off between Heat-Responsive Transcription Factors (HSFs) and Stress-Associated Genes (SAGs) under Changing Environment. Cereal Research Communications.iconpdf

  • Mishra,D.C,Arora, D., Kumar, R.R., Goswami, S., Varshney, S., Budhlakoti, N., Kumar, S., Chaturvedi, K.K., Sharma, A., Chinnusamy, V. and Rai, A, 2020. Weighted gene co-expression analysis for identification of key genes regulating heat stress in wheat. Cereal Research Communications, pp.1-9. iconpdf

  • Anu Sharma,Dwijesh Chandra Mishra, Neeraj Budhlakoti, Anil Rai, Shashi Bhushan Lal and Sanjeev Kumar (2020). Algorithmic and computational comparison of metagenome assemblers. Indian Journal of Agricultural Sciences. 90 (5): 847–54.

  • Kumar, D, Kumar, A, Chhokar, V, Gangwar, O.P., Bhardwaj,S.C, Sivasamy M, Prasad,Sai, Sheoran,S.V, Singh, Sonia, Sharma, Rajender, Iquebal ,M A, Jaiswal,Sarika, Angadi, U.B., Singh,Gyanendra,Rai Anil,Singh, G.P.,Kumar, Dinesh,and Tiwari,Ratan (2020) Genome-wide association studies in diverse spring wheat panel for Stripe, Stem and Leaf rust resistance. Frontiers in Plant Science, 11, Article number 748.iconpdf

  • Budhlakoti, N., Rai, A., & Mishra, D. C. (2020). Statistical Approach for improving Genomic prediction Accuracy through Efficient Diagnostic Measure of Influential Observation. Scientific Reports, 10(1), 1-11.iconpdf

  • Majumdar Sayanti Guha, Rai Anil, Mishra Dwijesh Chandra, (2019).Identification of genetic markers for increasing agricultural productivity: An empirical study. Indian Journal of Agricultural Sciences, 89 (10): 1708–13.

  • Deepender Kumar, Vinod Chhokar, Sonia Sheoran, Rajender Singh, Pradeep Sharma, Sarika Jaiswal, M. A. Iquebal, Akanksha Jaiswar, J. Jaisri, U. B. Angadi, Anil Rai, G. P. Singh, Dinesh Kumar, Ratan Tiwari, Characterization of genetic diversity and population structure in wheat using array based SNP markers, Mol Biol Rep (2019).iconpdf

  • Majumdar Sayanti Guha, Rai Anil, Mishra Dwijesh Chandra, (2019). Integrated Framework for Selection of Additive and Nonadditive Genetic Markers for Genomic Selection. Journal of Computational Biology. iconpdf

  • Mir Asif Iquebal, Pradeep Sharma, Rahul Singh Jasrotia, Sarika Jaiswal, Amandeep Kaur, Monika Saroha, U. B. Angadi, Sonia Sheoran, Rajender Singh, G. P. Singh, Anil Rai, Ratan Tiwari & Dinesh Kumar. RNAseq analysis reveals drought-responsive molecular pathways with candidate genes and putative molecular markers in root tissue of wheat, Scientific Reports volume 9, Article number: 13917 (2019) iconpdf

  • U. B. Angadi, K. K. Chaturvedi, S. Srivastava and Rai Anil. "A Novel Way of Comparing Protein 3D Structure Using Graph Partitioning Approach," in IEEE/ACM Transactions on Computational Biology and Bioinformatics.iconpdf

  • Neeraj Budhlakoti, Ravi Shankar, Anil Rai, Rajeev Ranjan Kumar, A R Rao (2019). Microarray data expression study for better identification of differentially expressed genes. Journal of the Indian Society of Agricultural Statistics. 73(3):251-255.

  • Rasal, Kiran D., Iquebal, Mir Asif, Jaiswal, Sarika, Dixit, Sangita, Vasam, Manohar, Nandi, Samiran, Raza, Mustafa, Sahoo, Lakshman, Angadi, UB, Rai Anil, Kumar, Dinesh, and Sundaray, Jitendra Kumar Sundaray (2019). Liver specific microRNAs identification in farmed carp, Labeo bata (Hamilton, 1822) fed with starch diet using high-throughput sequencing. Marine Biotechnology iconpdf

  • Rasal, Kiran D., Iquebal, Mir Asif, Pandey, Amrendra, Behera, Parmeswari, Jaiswal, Sarika, Vasam, Manohar, Dixti, Sangita, Raza, Mustafa, Sahoo, L., Nandi, Samiran, Angadi, UB, Rai Anil Kumar, Dinesh Nagpure, Naresh, Chaudhari, Aparna and Sundaray, Jitendra Kumar (2019) Revealing liver specific microRNAs linked with carbohydrate metabolism of farmed carp, Labeo rohita (Hamilton, 1822). Genomics. iconpdf

  • Farooqi Mohammad Samir, Mishra DC, Chaturvedi KK, Rai Anil, Lal SB, Kumar Sanjeev, Bhati Jyotika and Sharma Anu. (2019) A Review on Recent Statistical Models for RNA-Seq. Journal of Applied Bioinformatics & Computational Biology. 8:1 DOI: 10.4172/2329-9533.1000162.iconpdf

  • Jasrotia, Rahul Singh, Yadav, Pramod Kumar, Iquebal, Mir Asif, Bhatt, S.B., Arora, Vasu, Angadi, U.B., Tomar Rukam Singh, Jaiswal, Sarika, Rai, Anil, Kumar, Dinesh (2019). VigSatDB: Genome wide microsatellite DNA marker database of three species of Vigna for germplasm characterization and improvement. Database: The Journal of Biological Databases and Curation.iconpdf

  • Sheoran, Sonia,Jaiswal Sarika, Kumar, Deepender, Raghav, Nishu, Sharma, Ruchika, Pawar, Sushma, Paul, Surinder, Iquebal, M.A., Jaiswar, Akanksha, Sharma, Pradeep, Singh, Rajender, Singh, CB Gupta, Arun, Kumar, Neeraj,Angadi, U.B., Rai, Anil, Singh, G.P., Kumar, Dinesh, Tiwari, Ratan (2018). Uncovering genomic regions associated with 36 agro-morphological traits in Indian spring wheat using GWAS. Frontiers in Plant Science.iconpdf

  • Budhlakoti Neeraj, Mishra Dwijesh Chandra, Rai Anil, Lal S. B., Chaturvedi Krishna Kumar, Kumar Rajeev Ranjan (2019). A Comparative Study of Single Trait and Multi-Trait Genomic Selection. Journal of Computational Biology. Vol 26, pg 1-13.iconpdf

  • Jaiswal, Sarika, Iquebal, M.A., Arora, Vasu, Angadi, U.B., Khokar, R.S., Sharma, Pradeep, Sheoran, Sonia, Singh, G.P., Rai, Anil, Kumar, Tiwari, Ratan, Dinesh (2019). Development of species specific putative miRNA and its target prediction tool in wheat (Triticum aestivum L.). Scientific Reports, DOI : 10.1038/s41598-019-40333-y iconpdf

  • Singh, Rajender, Iquebal, MA, Mishra, CN, Jaiswal, Sarika, Kumar, Deepender, Raghav, Nishu, Paul, Surinder, Sheoran, Sonia, Sharma, Pradeep, Gupta, Arun, Tiwari, Vinod, Angadi, UB, Kumar, Neeraj, Rai, Anil, Singh, GP, Kumar, Dinesh and Tiwari, Ratan (2019) Development of model web-server for crop variety identification using throughput SNP genotyping data. Scientific Reports (Nature Group of Journal). iconpdf

  • Mukherjee, Sabyasachi, Mukherjee, Anupama, Singh, Rahul Jasrotia, Jaiswal, Sarika, Iquebal, Mir Asif, Longkumer, Imsusosang, Mech, Moonmoon, Vupru, Kezhavituo, Khate, Kobu, Rajkhowa, Chandan, Mitra, Abhijit, Rai, Anil and Kumar, Dinesh (2019). Muscle transcriptome signature and gene regulatory network in two divergent lines of a semi-domesticated bovine Mithun (Bos frontalis). Genomics (Elsevier Journal) iconpdf

  • Jerome A, Bhati J, Mishra DC, Chaturvedi KK, Rao AR, Rai A, Sikka P, Singh I (2019). MicroRNA-related markers associated with corpus luteum tropism in buffalo (Bubalus bubalis). Genomics iconpdf

  • Sureshkumar V, Dutta Bipratip, Kumar Vishesh, Prakash G, Mishra Dwijesh C, Chaturvedi KK, Rai Anil, Sevanthi Amitha Mithra, Solanke Amolkumar U (2019). RiceMetaSysB: a database of blast and bacterial blight responsive genes in rice and its utilization in identifying key blast-resistant WRKY genes. Database. iconpdf

  • Singh Indra , Deb Rajib , Kumar Sanjeev , Singh Rani, Andonissamy Jerome, Smita Shuchi , Singh Gyanendra Sengar, Kumar Rajiv, Ojha Krishna Kumar, Sahoo Nihar Ranjan, S Murali , Chandran Rejani, V Radhakrishnan Nair, Lal SB, Mishra Dwijesh Chandra & Rai Anil (2019). Deciphering Foot-and-Mouth Disease (FMD) virus-host Tropism. Journal of Biomolecular Structure and Dynamics. Deciphering Foot-and-Mouth Disease (FMD) virus-host Tropism. Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2019.1567386. iconpdf

  • Das, Ritwika, Arora, Vasu, Jaiswal, Sarika, Iquebal, MA, Angadi, UB, Singh, Rakesh, Shil, Sandip, Rai, Anil and Kumar Dinesh (2018). PolyMorphPredict: Web server for rapid polymorphic SSR locus discovery from whole genome and transcriptome data. Frontiers in Plant Sciences.

  • Jaiswal, Sarika, Jadhav, Pravin V., Jasrotia, Rahul Singh, Kale, Prashant B., Kad, Snehal K., Moharil, Mangesh P., Dudhare, Mahendra S., Deshmukh, Amit G., Mane, Shyamsundar S., Nandanwar, Ravindra S., Penna, Suprasanna, Manjaya, Joy G., Iquebal, Mir Asif, Tomar, Rukam Singh, Rai, Anil, Kumar, Dinesh (2018). Transcriptomic signature reveals mechanism of flower bud distortion in witches’-broom disease of soybean (Glycine max). BMC Plant Biology iconpdf

  • Kumar Ranjeet R, Singh Khushboo, Ahuja Sumedha,Tasleem Mohd, Singh Indra, Kumar Sanjeev, Grover Monendra, Mishra Dwijesh, Rai Gyanendra K, Goswami Suneha, Singh Gyanendra P, Chinnusamy Viswanathan, Rai Anil, Praveen Shelly (2018). Quantitative proteomic analysis reveals novel stress-associated active proteins (SAAPs) and pathways involved in modulating tolerance of wheat under terminal heat. Functional & Integrative Genomics, pp 1–20.iconpdf

  • Mishra Dwijesh Chandra *, Kumar Sanjeev, Lal SB, Saha Arijit,Chaturvedi KK,Budhlakoti Neeraj and Rai Anil (2018). TAGPT: A Web Server for Prediction of Trait Associated Genes using Gene Expression Data. Annals of Genetics and Genetic Disorders. 1(1): 1003.

  • अनु शर्मा, ज्योतिका भाटी, शशि भूषण लाल, कृष्ण कुमार चतुर्वेदी, मोहम्मद समीर फ़ारूकी और अनिल राय (2018). संगणनात्मक विधियों के द्वारा अरहर में माइक्रो-आर.एन.ए. की पहचान एवं उसका विवरण, भारतीय कृषि अनुसंधान पत्रिका, 33(1), 51-57.

  • Kumar Ranjeet Ranjan; Goswami Suneha; Singh Khushboo; Dubey Kavita; Rai Gyanendra K; Singh Bhupinder; Singh Shivdhar; Grover Monendra; Mishra Dwijesh; Kumar Sanjeev; Bakshi Suman; Rai Anil; Pathak Himanshu; Chinnusamy Viswanathan; Praveen Shelly. (2018) Characterization of Novel Heat-Responsive Transcription Factor (TaHSFA6e) Gene Involved in Regulation of Heat Shock Proteins (HSPs) - a Key Member of Heat Stress-Tolerance Network of Wheat. Journal of Biotechnology. Volume 279, Pages 1-12. iconpdf

  • Hukam C. Rawal, S. V. Amitha Mithra, Kirti Arora, Vishesh Kumar, Neha Goel, Dwijesh Chandra Mishra, K. K. Chaturvedi, Anil Rai, S. Vimala Devi, T. R. Sharma and Amolkumar U. Solanke (2018) . Genome-Wide Analysis in Wild and Cultivated Oryza Species Reveals Abundance of NBS Genes in Progenitors of Cultivated Rice. Plant Molecular Biology Reporter. Pages 1-14, iconpdf

  • Kumar A, Farooqi MS, Mishra DC, Kumar S, Rai A, Chaturvedi KK, Lal SB, Sharma, A. (2018). Prediction of miRNA and Identification of their Relationship Network Related to Late Blight Disease of Potato. Microrna. 7(1):11-19. doi: 10.2174/2211536607666171213123038. PubMed PMID: 29237394.

  • Arora, Vasu, Kapoor, Neera, Fatma, Samar, Jaiswal, Sarika, Iquebal, Mir Asif, Rai, Anil and Kumar, Dinesh (2018). BanSatDB: Whole genome based database of putative and experimentally validated microsatellite markers of three Musa spp. Crop Journal.iconpdf

  • Das Samarendra, Rai Anil, Mishra D. C. & Rai. Shesh N. (2018). Statistical Approach for Selection of Biologically Informative Genes. Gene. iconpdf

  • Das Samarendra, Rai Anil, Mishra D. C. & Rai. Shesh N. (2018). Statistical Approach for Gene Set Analysis with Trait Specific Quantitative Trait Loci. Nature Scientific Reports. 8:2391 | DOI:10.1038/s41598-018-19736-w.

  • Jaiswal, Sarika, Antala, Tushar J., Kheni, Jashminkumar, Chopra, Meenu, Mandavia, M. K., Tomar, Rukam S., Jasrotia, Rahul Singh, Iquebal, M.A., Angadi, U.B., Rai, Anil, Kumar, Dinesh (2017) Transcriptomic signature of drought response in pearl millet (Pennisetum glaucum (L.) and development of web-genomic resources. Nature Scientific Reports: iconpdf

  • Jaiswal, Sarika, Sheoran, Sonia, Arora, Vasu, Angadi, U.B., Iquebal, M.A., Raghav, Nishu, Aneja, Bharti, Kumar Deepender, Khokar, R.S., Sharma, Pradeep, Singh, G.P., Rai, Anil, Tiwari, Ratan, Kumar, Dinesh. (2017). Putative Microsatellite DNA Marker-Based Wheat Genomic Resource for Varietal Improvement and Management. Frontiers in Plant Sciences. iconpdf

  • Singh Indra, Smita Shuchi, Mishra Dwijesh C., Kumar Sanjeev, Singh Binay K., Rai Anil. Abiotic Stress Responsive miRNA-Target Network and Related Markers (SSR and SNP) in Brassica juncea. Frontiers in Plant Science.iconpdf

  • 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.

  • 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) iconpdf

  • Rai, Anil,Choudhary, Pooja, Malhotra, Suruchi, Bharadwaj, C, Gaikwad, Kishor, Kaur, Sukhdeep, Chopra, Meenu, Tandon, Gitanjali, Jaiswal, Sarika, Iquebal, Mir A, 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.

  • Anil Rai,Rahul Singh Jasrotia, Mir Asif Iquebal, Pramod Kumar Yadav, Neeraj Kumar, Sarika Jaiswal, U.B. Angadi, Dinesh Kumar (2017). Development of transcriptome based web genomic resources of yellow mosaic disease in Vigna mungo. Physiology and Molecular Biology of Plants iconpdf

  • Anil Rai,Iquebal, Mir A., Tomar, Rukam Singh, Parakhia, M.V., Singla, Deepak, Jaiswal, Sarika, Rathod, V.M., Padhiyar, S.M., Kumar, Neeraj, and Kumar, Dinesh. (2017) Draft whole genome sequence of groundnut stem rot fungus Athelia rolfsii revealing genetic architect of its pathogenicity and virulence. Nature Scientific Reports, Scientific Reports 7, Article number: 5299 doi:10.1038/s41598-017-05478-8 iconpdf

  • Anil Rai,Mishra, DC, Smita, S, Singh I, Devi, MN,Kumar S, Farooqi, MS, Chaturvedi, KK ,(2017). Prediction of novel putative miRNAs and their targets in buffalo. Indian Journal of Animal Sciences, 87(1), 59–63.

  • 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.

  • Ray, M, Rai, A, Ramasubramanian, V and Singh KN. (2016). ARIMA-WNN hybrid model for forecasting wheat yield time series data Journal of the Indian Society of Agricultural Statistics, 70(1), 63-70.

  • 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, A., 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, A. 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, A., Kumar, Dinesh (2016) The Onion Genomic Resource: A Genomics and Bioinformatics driven resource for onion breeding. Plant Gene, 8: 9-15

  • 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 Rai, A. (2016) Role of palmitoylation and nitration in modification of large number of proteins associated with drought stress in plants. Agrica, 2016, 5: 59-62

  • Md. Samir Farooqi, Mishra D. C., Niyati Rai, DP Singh, Rai, A., Chaturvedi, K.K., 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.

  • M. Grover.,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

  • Ankur Biswas, Rai, A.Tauqueer Ahmad & Prachi Misra Sahoo (2016): Spatial Estimation and Rescaled Spatial Bootstrap Approach for Finite Population. Communications in Statistics - Theory and Methods, http://dx.doi.org/10.1080/03610926.2014.995820. .

  • Arfa Anjum, Seema Jaggi, Eldo Varghese, Shewtank Lall, Arpan Bhowmik, and Rai, A. (2016) Identification of Differentially Expressed Genes in RNA-seq Data of Arabidopsis thaliana: A Compound Distribution Approach. Journal of Computational Biology, 23(4), DOI: 10.1089/cmb.2015.0205.

  • Jaiswal, Sarika, Dhanda, S.K., Iquebal, M.A., Arora, Vasu, Shah, Tejas M., Angadi, U.B., Joshi, Chaitanya G., Rahgava, G.P.S., Rai, A., and Kumar, Dinesh (2016). BIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA Markers. American Journal of Bioinformatics,

  • Jyotika Bhati, Pavan Chaduvula K, Rai, A., Kishore Gaikwad, Soma Marla S and Sanjeev Kumar (2016). In-Silico Prediction and Functional Analysis of Salt Stress Responsive Genes in Rice (Oryza sativa). J Rice Res., 4:1

  • 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, A., 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. .

  • 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, A., 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. .

  • Nagesh Mandadi, Christopher Hendrickson, Savithri Handanahal, Thippeswamy Rajappa, Nikhita Pai, Saleem Javeed, Abraham Verghese, Rai, A., 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, Sanjeev Kumar, Mishra Dwijesh C and Rai, A. (2015). Computational analysis of miRNA-targets Community Network reveals cross talk among different metabolism. Genomics Data. 5, 292-296. .

  • Pavan K Chaduvula, Jyotika Bhati, Rai, A. 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.

  • Tandon, Gitanjali, Sarika, Iquebal, M. A., Kumar, Sunil, Kaur, Sukhdeep, Rai, A. 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. .

  • Das S., Pandey, P., Rai, A. 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, A. (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. .

  • Bijay Kumar Behera, Vishwamitra Singh Baisvar, Kavita Kumari, Ajaya Kumar Rout, Sudip Pakrashi, Prasenjet Paria, A. R. Rao and Rai, A. (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. .

  • Iquebal, MA, Sarika, Angadi, UB, Sablok, Gaurav, Arora, Vasu, Kumar, Sunil, Rai, A. 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. .

  • Ankur Biswas, Rai, A. 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. .

  • Lal, S.B., Sharma, A., Chandra, H. and Rai, A. (2014). Web Based Sample Selection for Survey Data. J. of Ind. Soc. Of Agric. Stat., 68(1): 101-108. iconpdf

  • Ratna Prabha, Dhananjaya P. Singh, Shailendra K. Gupta, Rai, A. (2014). Whole Genome Phylogeny of Prochlorococcus Marinus Group of Cyanobacteria: Genome Alignment and Overlapping Gene Approach. Interdiscip Sci Comput Life Sci., 6: 1-9, DOI: 10.1007/s12539-013-0024-9.

  • Keshri, V, Dhananjaya P, Singh, R, Prabha, A, Rai, A. and Sharma, K (2014). Genome subtraction forthe identification of potential antimicrobial targetsin Xanthomonasoryzaepv. oryzae PXO99Apathogenic to rice. 3, Biotech., 4: 91-95, DOI:10.1007/s13205-013-0131-7.

  • Anu Sharma, S. B. Lal, D. C. Mishra, Sudhir Srivastava and Rai, A. (2013). A web Based Software for Synonymous Codon Usage Indices. International Journal of Information and Computation Technology, 3(3): 147-152.

  • Lal, SB, Pandey, Pankaj, K, Rai, Punit K, Rai, A., Sharma, Anu and Chaturvedi, KK (2013). Designand development of portal for biological databasein agriculture. Bioinformation, 9(11): 588-598.

  • Kumar, A, Mishra, DC, Rai, A., Sharma, MK and Gajula, MNVP (2013). In-silico analysis ofprotein-protein interaction between resistanceand virulance protein during leaf rust disease in wheat (Triticumaestivum L.). World Res. J. Pept. Protein, 2(1): 52-58.

  • Sarika, Arora, Vasu, Iquebal, M.A., Rai, A., 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. iconpdf

  • Sarika, Arora, Vasu, Iquebal, M.A., Rai, A. and Kumar, Dinesh (2013). In silico mining of putative microsatellite markers from whole genome sequence of water buffalo (Bubalis bubalis) and development of first BuffSatDB. BMC Genomics, 14: 43. iconpdf

  • Bajetha, Garima, Bhati, Jyotika, Sarika, Iquebal, M. A., Rai, A., Arora, Vasu and Kumar, Dinesh (2013). Analysis and functional annotation of expressed sequence tags of Water Buffalo. Animal Biotechnology, 24(1): 25-30. iconpdf

  • Shashi Bhushan Lal, Pankaj Kumar Pandey, Punit K Rai, Rai, A., Anu Sharma, Krishna Kumar Chaturvedi (2013). Design and development of portal for biological database in agriculture. Bioinformation, 9(11): 588-598. iconpdf

  • Rajkumari Sanjukta, Mohammad Samir Farooqi, Naveen Sharma, Rai, A., Dwijesh Chandra Mishra & Dhananjaya P Singh (2012). Trends in the codon usage patterns of Chromohalobacter salexigens genes. Bioinformation, 8(22): 1087-1095. iconpdf

  • Dhananjaya P. Singh,Ratna Prabha, Rai, A. and Dilip K. Arora ( 2012). Bioinformatics-Assisted Microbiological Research: Tasks, Developments and Upcoming Challenges. American Journal of Bioinformatics, 1(1): 10-19.

  • Sarika, Iquebal, M. A., Rai, A. (2012). Biotic stress resistance in agriculture through antimicrobial peptides. Peptides, 36, 322-330. iconpdf

  • Sarika, Iquebal, M. A. and Rai, A. (2012). In silico analysis and homology model of legume antioxidant proteins. Online Journal of Bioinformatics, 13(1), 120-129. iconpdf

  • Ratna Prabha, Dhananjaya P. Singh, Shailendra K. Gupta, Samir Farooqi and Rai, A.. Synonymous codon usage in Thermosynechococcus elongatus (cyanobacteria) identifies the factors shaping codon usage variation. Bioinformation, 8(13), 622-628.

  • Poonam Chilana, Anu Sharma and Rai, A.(2012). Insect Genomic Resources: Status, Availability and Future. Current Science. Vol. 102, No. 4, 571-580.

  • Gharde, Yogita. Rai, A., 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, A., Sahoo, P.M. (2012). Sensitivity analysis of various indicators of composite index, Jr. Ind. Soc. Ag. Stat. , 66(2), 3335-342.

  • Ahmad, T., Rai, A., and Singh, R. (2012). Objective Spatial Analytic Hierarchy Process for identification of potential agroforestry areas using GIS. Mod. Assist. Statist. Appl., 7(1), 65-73.

  • Ahmad, T., Rai, A. and Sahoo, P.M. (2012). Comparison of bootstrap techniques for estimation of ratio in complex surveys. Inter. J. Agril. Statist. Sci., 8(1), 355-365.

  • Kumar, M., Ahmad, T., Rai, A. and Sahoo, P.M. (2012). Sensitivity analysis of various indicators of composite index. J. Ind. Soc. Agril. Statist., 66(2), 335-342.

  • Sahoo, P.M., Rai, A., Ahmad, T., Singh, R. and Handique, B.K. (2012). Estimation of acreage under paddy crop in Jaintia Hills district of Meghalaya using Remote sensing and GIS. Inter. J. Agril. Statist. Sci., 8(1), 193-202.

  • Ahmad, T., Bathla, H.V.L., Rai, A., Mathur, D.C. and Sood, R.M. (2011). An alternative sampling methodology for estimation of area and production of horticultural crops. Mod. Assist. Statist. Appl., 6(4), 325-336.

  • Farooqi, MS, Arora, Alka, Dahiya, Shashi, Rai, A.and Singh, Balbir (2011). PERMISnet-II: Personnel Management Information System Network-II for ICAR. J. Ind. Soc. Agril. Statist. 65(1), 105–113.

  • Shukla, Rajesh, Rai, A. 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), 339–367.

  • Sree Nilakanta, Kevin Scheibes and Rai, A.(2008). Dimensional issues in agricultural data warehouse design. Computers and Electronics in Agriculture, 60(2), 263-278.

  • Vishwakarma, R.K., Wanjari, O.D., Rai, A. Bathla, H.V.L. and Gupta R.K. (2007). New Methodology to study harvest and post-harvest losses in Groundnut. Agricultural Situation in India, February, 2007, PP.625-630.

  • Rai, A., Malhotra, P.K., Sharma, S.D. and Chaturvedi, K.K. (2007). Data Warehousing for Agricultural Research - An Integrated Approach for Decision Making. J. Indian. Soc. Ag. Stat. 61(2), 264-273.

  • Rai, A. N.K. Gupta and Randhir Singh (2007). Small area estimation of crop production using spatial models. Mod. Asst. Stat. Apl., 2(2), 89-98.

  • V. Ramasubramanian, Rai, A., and Randhir Singh (2007). Jackknife variance estimation under two-phase sampling. Mod. Asst. Stat. Apl. , 2(1), 27-35.

  • Rai, A. Vipin Dubey, K. K. Chaturved and Malhotra, P.K. (2007). Issues of design and development of agricultural data warehouse in India. Com. Soc. Ind. 31(1), 43-51.

  • Ahamad, T., Rai, A., Singh R. and Kant, A. (2007). Model for prediction of area under Yamunanager district of Haryana. Indi. J. Agril. Scien. 77(1), 43-45.

  • Sharma Naveen, Farooqi Md. Samir, Chaturvedi Krishna Kumar, Lal Shashi Bhushan, Grover Monendra, Rai, A., and Pandey Pankaj (2014). The Halophile Protein Database, Database (Oxford). 2014; doi:10.1093/database/bau114

  • 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, 45(6), 898–902.

  • Nigam Deepti, Sanjeev Kumar, Mishra D C, Rai, A. Smita Suchi and Saha Arijit (2014). Synergetic regulatory networks mediated by microRNAs and transcription factors under Salinity, Heat and Drought stress in Oryza Sativa spp. GENE (DOI: 10.1016/j.gene.2014.10.054)

  • Sarika, Iquebal, MA, Arora, Vasu, Rai, A. and Kumar Dinesh. (2015). Species specific approach for development of web-based antimicrobial peptides prediction tool. Computer and Electronics in Agriculture, 111, 55-61.

  • Manju Mary Paul, Rai, A. 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.

  • Farooqi Md. Samir, Sanjukta R. K., Mishra Dwijesh Chandra, Singh Dhananjaya Pratap, Rai, A., Chaturvedi Krishna Kumar (2014). In silico Analysis of Synonymous Codon Usage Pattern of Rhizobium etli CFN 42, Proc. Natl. Acad. Sci., India, Sect. B Biol.Sci. DOI 10.1007/s40011-014-0457-x.

  • Farooqi Md. Samir, Sanjukta R. K., Mishra Dwijesh Chandra, Singh Dhananjaya Pratap, Rai, A. Chaturvedi Krishna Kumar (2014). In silico Analysis of Synonymous Codon Usage Pattern of Rhizobium etli CFN 42, Proc. Natl. Acad. Sci., India, Sect. B Biol.Sci. DOI 10.1007/s40011-014-0457-x.

  • Lal, S.B., Sharma, A., Chandra, H. and Rai, A. (2014). Web Based Sample Selection for Survey Data. J. of Ind. Soc. of Agric. Stat. Vol. 68(1) pp. 101-108. iconpdf

  • 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 Virulence Protein during Leaf Rust Disease in Wheat (Triticum aestivum L.), World Research Journal of Peptide and Protein ISSN: 2278-4586 & E-ISSN: 2278-4608.

  • Chilana Poonam, Bhati Jyotika, Sharma Anu, Mishra D. C., Rai, A. (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.

  • Bhati Jyotika, Chaduvula Kumar Pavan, Rani Ruchi, Sanjeev Kumar and Rai, A. (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.

  • Prabha Ratna, Singh Dhananjaya P., Gupta Shailendra K., Rai, A.(2014). Whole Genome Phylogeny of Prochlorococcus Marinus Group of Cyanobacteria: Genome Alignment and Overlapping Gene Approach. Interdiscip. Sci. Comput. Life Sci. 6: 1-9, DOI: 10.1007/s12539-013-0024-9.

  • 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.

  • V. Keshri, Dhananjaya P. Singh, R. Prabha, Rai, A., 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.

  • Sandip Kumar Sadhu, Ramasubramanian V., Rai, A. 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 Rai, A. (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.

  • Tandon Gitanjali, Sarika, Iquebal M A, Kumar Sunil, Kaur Sukhdeep, Rai, A. 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.iconchrome

  • Ankur Biswas, Rai, A., Tauqueer Ahmad and Prachi Misra Sahoo (2014): Spatial Estimation and Rescaled Spatial Bootstrap Approach for Finite Population (Communications in Statistics – Theory and Methods).

  • Books with ISBN

  • Rai, A. with others.(2010) Handloom Census of India 2009-10 Original (ISBN:81-88830-14-3) Publisher:Secretary & Head Operations, National Council of Applied Economic Research.

  • Rai, A. with others.(2010) India Youth Demographics & Readership Original (ISBN:978-81-237-0000-0) Publisher: Director, National Book Trust, India, Nehru Bhawan, New Delhi.

  • Rai, A. with others.(2007) How India Earns, Spends and Saves? Original (ISBN:81-88830-10-0) Publisher: Director, Marketing, Products & Corporate Communication (The Max New York Life Insurance Ltd.)

  • Monographs

  • S.N. Jha, R.K. Vishwakarma, T. Ahmad, Rai, A.and Anil Kr. Dixit.(2015) Assessment of Quantitative Harvest and Post-Harvest Losses in Major Crops and Commodities. Publisher: ICAR-CIPHET Ludhiana

  • Rai, A., Prachi Mishra Sahoo, P.K. Malhotra, V.K. Bhatia (2011) Prioritization of rain fed area in the country. Publisher: Collaboration with ICAR-IASRI, New Delhi and ICAR-CRIDA Hyderabad.

  • Rai, A. with others.(2010) Handloom Census of India 2009-10 Original (ISBN:81-88830-14-3) Publisher:Secretary & Head Operations, National Council of Applied Economic Research.

  • Rai, A. with others.(2010) India Youth Demographics & Readership Original (ISBN:978-81-237-0000-0) Publisher: Director, National Book Trust, India, Nehru Bhawan, New Delhi.

  • Rai, A., K.K. Chaturvedi, V.K. Bhatia, V. Ramasubramanian (2009) Information and Communication Technology for Accelerated Growth in Agriculture Technical Series (Original) (IASRI/ NAIP/ V-PAGe/01/09) Publisher: ICAR-IASRI New Delhi

  • Nanada S.K., Rai, A. and Others 2009) Harvest and post harvest losses of major crops and livestock produce in India. Publisher: ICAR-CIPHET Ludhiana

  • Rai, A. with others.(2007) How India Earns, Spends and Saves? Original (ISBN:81-88830-10-0) Publisher: Director, Marketing, Products & Corporate Communication (The Max New York Life Insurance Ltd.)

  • Rai, A., S.D. Sharma, Prachi Mishra Sahoo, P.K. Malhotra (2007) Livelihood Status of different Agro-climatic Zones in India Technical Series (Original)(IASRI/Liv/2007) Publisher: ICAR-IASRI New Delhi

  • Rai, A. & others (2007 Manual of crop yield and area estimation ICAR-IASRI New Delhi

  • Rai, A. & others (2003) Information support for management and agriculture Publisher: ICAR-IASRI New Delhi

  • Rai, A. & others (2002) INARIS data dictionary software (DDM) reference manual Publisher: ICAR-IASRI New Delhi

  • Rai, A. with others.(2001) Requirement Analysis Document of “Integrated National Agricultural Resources Information System” Publisher: ICAR-IASRI New Delhi

  • Rai, A. with others.(2001) Code Book–I. of “Integrated National Agricultural Resources Information System Publisher: ICAR-IASRI New Delhi

  • Book Chapter:

  • D.C. Mishra, Sanjeev Kumar, Rai, A., Sudhir Srivastava (2013).Machine Learning Techniques and Its Application in Bioinformatics. Information and Knowledge Management: Tools, Techniques and Practices. Publisher: New India Publishing Agency.

  • Sharma, N, Rai, A., Chaturvedi, KK, Farooqi, MS. Bioinformatics: Future Application in Microbiology. In the Book “Emerging Trends: Applied Biotechnology” by Sharma, N, Rathore, M, (2011) Pages: 106-121. Publisher: Lambert Academic Publishing House Germany.

  • Rai, A.,K.K. Chaturvedi and P.K. Malhotra. Design and development of fisheries data mart. Applied Bioinformatics Statistics and Economics in Fisheries Research(2008) Eds. Ajit Kumar Roy and Niranjan Sarangi Publisher: New India Publishing Agency, New Delhi

  • Sahoo, P.M., Rai, A.and Ahmad, T. Remote Sensing based Methodology for Crop acreage estimation Climate Change effects on Natural Resource Management(2013) (Eds. Mohanty, M., Chaudhary, R.S. and Sinha, N.K.). Pg 80-95. Publisher: Agrotech Publishing Academy, Udaipur

  • Sahoo, P.M., Rai, A.,Ahmad, T. and Jaggi, S. Statistical Techniques for Spatial Data Analysis. Climate Change effects on Natural Resource Management (2013) (Eds. Mohanty, M., Chaudhary, R.S. and Sinha, N.K.). Pg. 96-112. Publisher: Agrotech Publishing Academy, Udaipur

  • Sanjukta, RK, Farooqi, MS, Mishra, DC, Sharma, N, Rai, A.,and Chaturvedi, KK (2014). Analysis of Synonymous codon usage pattern in Book “Agro Biodiversity Informatics” Eds. Balakrishnan, M and Soam, SK. In 2014, pp. 141-156. Publisher: Springer Publication

  • Iquebal, M.A., Jaiswal, Sarika, Mukhopadhyay, C.S., Sarkar, Chiranjib, Rai, A.,and Kumar, Dinesh Applications of Bioinformatics in Plant and Agriculture in Plant Omics: The Omics of Plant Science (2015) Eds. Debmalya Barh, Muhammad Sarwar Khan and Eric Davies, Pp. 755-790. Publisher: Springer Publication

  • Iquebal, M.A., Sarika, Rai, A.,and Kumar, Dinesh DNA signature of Agricultural Germplasm: A computational Approach. In Bioinformatics Approaches for Livestock Genome Analysis (2015) Eds. Umesh Singh et al., Pp. 279-294 Publisher: Satish Serial Publishing House, Delhi (ISBN: 9789384053017)

  • Sarika, Iquebal, M.A., Mukhopadhayay, C.S., Koringa, P.G., Rai, A.,Joshi, C.G. and Kumar Dinesh. Genome annotation on prokaryotes and eukaryotes. In Bioinformatics Approaches for Livestock Genome Analysis (2015) Eds. Umesh Singh et al., Pp. 247-278 Publisher: Satish Serial Publishing House, Delhi (ISBN: 9789384053017)

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