Dr. Dwijesh Chandra Mishra
Dr. Dwijesh Chandra Mishra
Senior Scientist
dwijesh.mishra@icar.gov.in
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Citations and H index


Research Interest

  • Genome-wide association study
  • Comparative Genomics
  • Proteomics
  • Computational Biology
  • Statistical Genetics
  • Data Mining Techniques
  • System Biology
  • Computational Genomics
  • Genomic Variant Study

Academic areas of specialization

  • Teaching - Courses Taught
  • Faculty member of PG School, IARI in the discipline of Bioinformatics and involved in teaching M. Sc. and Ph. D. courses.

Teaching

  • Mathematical Foundation for Computer Application (4L+0P)
  • Advanced Bioinformatics (2L+1P)
  • Computational Biology (2L+1P)
  • Computational Genomics (2L+1P)
  • Genome Assembly and Annotation (1L+2P)
  • Chemoinformatics and IPR Issues (2L+1P)
  • Advances in Data Mining Techniques (2L+1P)

Training Courses/Teaching Material

  • Delivered invited lectures of theory with hands-on session on “Application of SAS software in Basic Statistical Analysis, Correlation and Regression Analysis, Multivariate Analysis and Analysis of the data of Designed Experiments” at Maharana Pratap University of Agriculture and Technology (MPUAT), Udaipur.
  • Delivered invited lectures on “Statistical Data Mining using MATLAB” at Maharaja Agrasen Institute of Technology, New Delhi
  • Delivered a training lecture of theory with hands-on session on “Machine Learning and Resampling Techniques” conducted in the short course “Bioinformatics in Agriculture” at IASRI, New Delhi
  • Delivered training lecture of theory with hands-on session on “Microarray data analysis, Cluster Analysis and Diallel Analysis” at Indian Agricultural Statistics Research Institute (IASRI), New Delhi.
  • Delivered a lecture on “Dimensionality Reduction Techniques” in the winter school training at IASRI, New Delhi
  • Delivered a lecture on “Exploratory Data Analysis using SAS” at Indian Agricultural Statistics Research Institute (IASRI), New Delhi.
  • Organized 21 days CAFT training programme title “Advances in Omics Data Analysis: Learning by examples” during December, 03-23, 2014 held at IASRI, New Delhi as a Co-course Director of the training programme.
  • Prepared 3 lectures notes and delivered lectures with hands on session on the topics title “Techniques of Genome Assembly”, “Model Evaluation Techniques” and“Network Biology” in CAFT training programme title “Advances in Omics Data Analysis: Learning by examples” during December, 03-23, 2014 held at IASRI, New Delhi.
  • Prepared 4 lecture notes and delivered lectures with hands on session on the topics title “Estimation of Variance Components”, “Best Linear Unbiased Predictors”, “GxE Interaction and Models for Stability Analysis” and “Analysis of Diallel” in International Training Programme on “Importance of Statistical and Experimental Designs, Data Analysis and Biometrical Techniques in Agriculture” Research organized during November 17, 2014 – February 07, 2015 at IASRI, New Delhi.
  • Prepared lecture note and delivered lecture with hands on session on the topics title “Variance Component Estimation from Experimental data on Horticultural Crops” in CAFT training programme title “Advances in Statistical Techniques for Horticultural Research” during January, 02-22, 2014 held at IASRI, New Delhi.
  • Prepared lecture notes and delivered three lectures with hands on session on the topics title “Application of Mixed Model in Quantitative Genetics”, “Microarray Data Analysis” and “Next Generation Sequencing Techniques” in CAFT training programme title “Recent Advances in Statistical Genetics” during February, 03-23, 2014 held at IASRI, New Delhi.

Important Projects

  • Development of statistical and computational approach for preprocessing and analyzing high-throughput proteomics data with missing values.

  • Rapeseed Mustard germplasm core-collection through standard statistical method (2010-11)
  • Study of synonymous codon usage and its relation with gene expressivity in halophilic bacteria (2011-12)
  • Web Based Software for Codon Usage Analysis for Gene Expression Identification (2012-13)
  • Algorithm for gene classification based on gene expression data (2012-14)
  • Methodology for protein structure comparison and its web implementation (2013-15)
  • Modeling network of gene responses to abiotic stress in rice (2013-16)
  • Computational Identification And Modelling Of Genetic Variation In Relation To Performance Traits In Buffaloes (2015-18)
  • RiceMetaSys: Understanding rice gene network for blast resistance and drought tolerance through system biology approach (2015-18)
  • Gene Regulatory Networks modelling for Heat Stress Responses of Source and Sink for Development of Climate Smart Wheat (2015-18)

  • Exploring Gene Regulatory Networks involved in Heat Stress Responses of Source and Sink for Development of Climate Smart Wheat (In collaboration with ICAR-IARI, New Delhi)

  • Development of Gender Information System for Agriculture(Collaboration with Directorate of Research for Women in Agriculture, Bhubneshwar)

  • Platform or Integrated Genomics Warehouse

  • Methodology for Trait Specific Genes Identification.

  • Development of an Improved Hybrid De-novo Whole Genome Assembler.

  • Non Linear Modelling For Genomic Predictions Based on Multiple Traits.

  • Machine Learning Approach for Binning of Metagenomics Data.

  • Potential gene mining from salt tolerant grasses for improvement of salt tolerance in crops.

  • ICAR Consortium Research Platform on Genomics project entitled “Computational and Analytical Solutions for High-throughput Biological Data”- ICAR-IARI, New Delhi .

  • Identification of defence genes/QTLs associated with rust resistance in wheat (In collaboration with ICAR-NBPGR, New Delhi).

  • Exploring the Epigenetic Control of Heat Stress Responses in Wheat for Characterizing the Regulatory Networks Associated with Thermotolerance.

  • RiceMetaSys: Understanding of Rice Gene Network for Biotic and Abiotic Stress Management through System Biology Approach.

  • Structural and functional genomics of potato and its pest / pathogen using bioinformatics approaches


Awards and Honours

  • Working as a member of Editorial Board of the journal "Proteomics & Bioinformatics: Current Research (PBCR)".
  • Working as a member of Editorial Board of the journal "Annals of Genetics and Molecular Biology".
  • Working as a executive member of Seminar Association of the Institute.
  • Working as a member secretary of Evaluation Committee for publication of “IASRI Annual Report” in Hindi
  • Working as a member of Editorial Board of Hindi Magazine “सांख्यिकी विमर्श”
  • Working as a center coordinator of National Research Centre on Plant Biotechnology, New Delhi under the CABin Scheme

Important Publications

  • Mallikarjuna, M.G., Tomar, R., Lohithaswa, H.C., Sahu, S., Mishra, D.C., Rao, A.R., Chinnusamy, V. (2023). Genome-wide identification of potassium channels in maize showed evolutionary patterns and variable functional responses to abiotic stresses. Plant Physiology and Biochemistry. Volume 206, 108235 iconpdf

  • Sharma, D. , Kumari, A., Sharma, P., Singh, A., Sharma, A., Mir, Z.A., Kumar, U., Jan, S., Parthiban, M., Mir, R.R. , Bhati, P., Pradhan, A.K., Yadav, A., Mishra, D.C. , Budhlakoti, N. , Yadav, M. C., Gaikwad, K.B. Singh, A.K., Singh, G.P., Kumar, S. (2023). Meta QTL analysis in wheat: progress, challenges and opportunities. Theoretical and Applied Genetics (2023) 136:247. iconpdf

  • Roy, A., Marwaha. S., Mishra, D.C., Chinnusamy, V. (2023). Development of a Genome-phenome Browser for Rice Cultivars. International Journal of Plant & Soil Science. 35(14), 269-277 iconpdf

  • Kumar, D., Ramkumar, M.K., Dutta, B., Kumar Ajay, Pandey, R., Jain, P. K., Gaikwad, K., Mishra, D.C., Chaturvedi K. K., Rai, A., Solanke, A.U. & Sevanthi, A.M. (2023). Integration of miRNA dynamics and drought tolerant QTLs in rice reveals the role of miR2919 in drought stress response. BMC Genomics 24, 526 (2023). iconpdf

  • Padmanabha, K., Choudhary, H., Mishra G.P., Mandal, B., Solanke, A.U., Mishra, D.C., Yadav, R.K. (2023). Identifying new sources of resistance to tomato leaf curl New Delhi virus from Indian melon germplasm by designing an improved method of field screening. Genetic Resources and Crop Evolution. iconpdf

  • Sonkusale, L., Chaturvedi, K.K., Sharma, A., Lama, A., Farooqi, M.S., Lal, S.B., Joshi, P., Mishra, D.C., and Kumar, M.(2023). Evaluating Text Preprocessing Methods for Discovering Quality Topics to Improve the Information Retrieval Mechanism. Acta Scientific COMPUTER SCIENCES, 5(9), pp. 03-08. iconpdf

  • Upadhyay, D., Budhlakoti, N., Mishra, D.C., Kumari, J., Gahlaut, V., Chaudhary, N., Padaria, J.C., Sareen, S., Kumar, S. (2023). Characterization of Stress-Induced Changes in Morphological, Physiological and Biochemical Properties of Indian Bread Wheat (Triticum aestivum L.) Under Deficit Irrigation. Genetic Resources and Crop Evolution. iconpdf

  • Das, P., Grover, M., Mishra, D.C., Majumdar, S.G., Kumar, S., Chaturvedi, K.K., Bhardwaj, S.C., Singh, A.K. and Rai, A. (2023). Genome-wide identification and characterization of Puccinia striiformisresponsive lncRNAs in Triticum aestivum. Frontiers in Plant Science, section Plant Bioinformatics. Volume 14 - 2023 iconpdf

  • Ahlawat, S., Arora, R., Sharma, R., Chhabra, P., Kumar, A., Kaur, M., Lal, S.B., Mishra, D.C., Farooqi, M.S. and Srivastava, S. (2023). Revelation of genes associated with energy generating metabolic pathways in the fighter type Aseel chicken of India through skeletal muscle transcriptome sequencing. Animal Biotechnology iconpdf

  • Pradhan, A.K., Budhlakoti, N., Mishra, D.C., Prasad, P., Bhardwaj, S.C., Sareen, S., Sivasamy, M., Jayaprakash, P., Geetha, M., Nisha, R. and Shajitha, P., Peter J., Kaur, A., Kaur, S., Vikas, V.K., Singh, K. & Kumar, S. (2023). Identification of Novel QTLs/Defense Genes in Spring Wheat Germplasm Panel for Seedling and Adult Plant Resistance to Stem Rust and Their Validation Through KASP Marker Assays. Plant Disease, iconpdf

  • Arora, R., Sharma, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Vijh, R.K., Lal, S.B., Mishra, D.C., Farooqi, M.S., and Srivastava, S., (2023). Transcriptomics reveals key genes responsible for functional diversity in pectoralis major muscles of native black Kadaknath and broiler chicken. 3 Biotech, 13, 253. iconpdf

  • Sikka P., Singh K P, Singh I., Balhara, A., Chaturvedi, K.K., Andonissamy, J., Mishra, D.C., Rao, A.R., Paul, S.S, Rai, A. (2023). Whole blood Transcriptome in Murrah Lactating Buffaloes divergent to contrasting genetic merits for Milk Yield. Frontiers in Animal Science, section Animal Physiology and Management. 4:1135429. iconpdf

  • Mir, Z.A., Chauhan, D., Pradhan, A.K., Srivastava, V., Sharma, D., Budhlakoti, N., Mishra D.C., Jadon, V., Sahu, T. K., Grover, M., Gangwar, O.P., Kumar, S., Bhardwaj, S.C., Padaria, J.C., Singh, A.K., Rai, A., Singh G. P., Kumar, S. (2023). Comparative transcriptome profiling of near isogenic lines PBW343 and FLW29 to unravel defense related genes and pathways contributing to stripe rust resistance in wheat. Funct Integr Genomics, 23(2), 1-19. iconpdf

  • Sikka, P., Paul, S.S., Jerome, A., Mishra D.C., Chaturvedi, K.K., Singh, I., Rai, A. (2023). Functional Genes in Relation to Residual Feed Intake in Murrah Buffalo Heifers. Advances in Bioscience and Biotechnology, 2023, 14, 210-236 iconpdf

  • Mishra D.C., Bhati, J., Yadav, S., Awasthi, H., Sikka, P., Jerome, A., Balhara, A.K., Rai, A., Chaturvedi, K.K. (2023). Comparative expression analysis of Water buffalo (Bubalus bubalis) to identify genes associated with economically important traits. Frontiers in Veterinary Sciences, Section: Livestock Genomics. iconpdf

  • Srivastava, S., Merchant, M., McClain J. Craig, Rai, A., Chaturvedi, K.K., Angadi, U.B., Mishra D.C. and Rai N. Shesh* (2023). Advanced Multivariable Statistical Analysis Interactive Tool for Handling Missing Data and Confounding Covariates for Label-free LC-MS Proteomics Experiments, Current Bioinformatics,18(5).. iconpdf

  • Sinha, D., Dasmandal, T., Md. Yeasin, Mishra D.C., Rai, A., and Archak, S. (2023). EpiSemble: A Novel Ensemble-based Machine-learning Framework for Prediction of DNA N6-methyladenine Sites Using Hybrid Features Selection Approach for Crops. Current Bioinformatics. iconpdf

  • Priyadarshi, M.B., Sharma, A., Chaturvedi, K.K., Bhardwaj, R., Lal, S.B., Farooqi, M.S., Kumar, S., Mishra D.C., Singh, M. (2023). Comparing various machine learning algorithms for sugar prediction in chickpea using near-infrared spectroscopy. Legume Research-An International Journal . Volume 46, Issues 02, Pages 251-256. iconpdf

  • Khan, M.A., Rai, A., Mishra D.C., Budhlakoti, N., Satpathy, S., Majumdar, S.G.. (2023). Comparative study of multi-trait genomic and phenotypic selection indexes for selection of superior genotypes. Indian Journal of Genetics and Plant Breeding. Volume 83, Issues 01, Pages 88-94. iconpdf

  • Das, P, Grover, M, Chauhan, D, Mishra D.C., Kumar, S, Chaturvedi, K.K., Bhardwaj, S.C., Singh, A.K., Rai,A. Comparative transcriptome analysis of wheat isogenic lines provides insights into genes and pathways associated with stripe rust resistance. Indian Journal of Genetics and Plant Breeding. Volume 83, Issues 01, Pages 52-58. iconpdf

  • Majumdar, S.G., Mishra D.C., Rai, A. “Estimation of Error Variance in Genomic Selection for Ultrahigh Dimensional Data”. Agriculture. 13(4), 26; iconpdf

  • Mir, Z.A., Chandra, T., Saharan, A., Budhlakoti, N. , Mishra D.C., Saharan, M.S., Mir, R.R., Singh, A.K., Sharma, S., Vikas, V.K. and Kumar, S. (2023). Recent advances on genome-wide association studies (GWAS) and genomic selection (GS); prospects for Fusarium head blight research in Durum wheat. Molecular Biology Reports, 1-17. iconpdf

  • Mishra D.C., Majumdar, S.G., Kumar, A., Bhati, J., Chaturvedi, K. K., Kumar, R.R., Goswami, S., Rai, A., and Budhlakoti, N. (2023). Regulatory Networks of lncRNAs, miRNAs, and mRNAs in Response to Heat Stress in Wheat (Triticum Aestivum L.): An Integrated Analysis. International Journal of Genomics. Volume 2023, Article ID 1774764, 17 pages iconpdf

  • Das, R., Rai, A., Mishra D.C. “CNN_FunBar: Advanced learning technique for fungi ITS region classification”. Genes, section: Bioinformatics. Genes 2023, 14(3), 634; iconpdf

  • Khan, M.A., Rai, A., Mishra D.C., Budhlakoti, N., Satpathy, S. and Majumdar, S.G., 2023. Comparative study of multi-trait genomic and phenotypic selection indexes for selection of superior genotypes. Indian journal of genetics and plant breeding, 83(01), 88-94 iconpdf

  • Sharma, R., Arora, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Lal, S. B., Mishra D.C., Farooqi, M. S., & Srivastava, S. (2023). Study on the muscle transcriptome of two diverse Indian backyard poultry breeds acclimatized to different agro-ecological conditions. Molecular biology reports, 10.1007/s11033-022-08223-1. Advance online publication. iconpdf

  • Sharma, S., Archak, S., Majumdar, S., Mishra D.C., & Rai A., (2022). Comparison of Supervised Machine Learning Techniques in Classifying Vitamin Biosynthesis Genes. Journal of The Indian Society of Agricultural Statistics. 76(3) 141–146. .

  • Gupta, N.C., Yadav, S., Arora, S.,Mishra D.C., Budhlakoti, N., Gaikwad, K., Rao, M., Prasad, L., Rai, p.k & Sharma, p. (2022). Draft genome sequencing and secretome profiling of Sclerotinia sclerotiorum revealed effector repertoire diversity and allied broad‑host range necrotrophy. Scientific Reports, 12 : 1-16. iconpdf

  • Das, S., Pan, J., Mishra, D.C., Fu, X.A., Rai, S.N. (2022). Multigroup Prediction in Lung Cancer Patients and Comparative Controls using Signature of Volatile Organic Compounds in Breath Samples. PLOS ONE. 17(11):e0277431. iconpdf

  • Kumar, S., Pradhan, A.K., Kumar, U., Dhillon, G.C., Kaur, S., Budhlakoti, N., Mishra D.C., Singh, A.K., Singh, R., Kumari, J., Kumaran, V.K., Mishra, V.K., Bhati, P.K., Das, S., Chand, R., Singh, K.,Kumar, S., (2022). Validation of Novel spot blotch disease resistance alleles identified in unexplored wheat (Triticum aestivum L.) germplasm lines through KASP markers. BMC plant biology. 22:618 iconpdf

  • Sharanbasappa, Mishra D.C., Sharma,A., Kumar, S., Maji, A.K., Budhlakoti, N., Sinha, D. A Deep Clustering based Novel Approach for Binning of Metagenomics Data. Current genomics. iconpdf

  • Padmanabha, K., Choudhary, H., Mishra, G. P., Mandal, B., Solanke, A. U., Mishra D.C., & Yadav, R. K. (2022). Genetic analysis of resistance to tomato leaf curl New Delhi virus in muskmelon (Cucumis melo L.). INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 82(04). p>

  • Panigrahi, I., Munshi, A.D., Dey, S.S., Jat, G.S., Gaikwad, A.B., Talukdar, A., Gaikwad, K. and Mishra D.C. Genetics of fruit yield and yield attributing traits in bitter gourd The Pharma Innovation Journal 2022; 11(11): 208-212. iconpdf

  • Anjum, A., and Jaggi, S., and Lall, S., and Varghese, E., and Rai, A., and Bhowmik, A. and Mishra, D.C. (2022) Segmentation of genomic data through multivariate statistical approaches: comparative analysis. Indian Journal of Agricultural Sciences, 92 (7). pp. 92-96. ISSN 0019-5022. iconpdf

  • 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

  • Sonkusale, L., Chaturvedi, K.K., Lal, S.B., Farooqi, M. S., Sharma, A., Joshi, P., Lama, A. and Mishra D.C.(2022). Exploring the Applicability of Topic Modeling in SARS-CoV-2 Literature and Impact on Agriculture. Indian Res. J. Ext. Edu. 22 (4). 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

  • Mishra D.C., Guha Majumdar, S., Budhlakoti, N., Kumar, A., & Chaturvedi, K. K. (2022). OMICS Tools and Techniques for Study of Defense Mechanism in Plants. In Thermotolerance in Crop Plants (pp. 237-250). Springer, Singapore.iconpdf

  • Dutta, H., Mishra, G.P., Muraleedhar, A.S., Bosamia, T.C., Mishra D.C., Bhati, J., Sinha, S.K., Vijay, D., Manjunath P. C.T., Das, S., Pawar, P.M., Kumar, A., Tripathi, K., Kumar, R.R., Yadava, D.K., Kumar,S., Dikshit, H.K. (2022). Comparative transcriptome analysis, unfolding the pathways regulating the seed-size trait in cultivated lentil (Lens culinaris Medik.). Frontiers in Genetics, section Plant Genomics.iconpdf

  • Priyadarshi, M. B., Sharma, A.,Chaturvedi, K.K., Bhardwaj, R., Lal, S.B., Farooqi, M.S., Kumar, S., Mishra D.C., Singh, M. (2022). Machine Learning Algorithms for Protein Physicochemical Component Prediction Using Near Infrared Spectroscopy in Chickpea Germplasm. Indian J. Plant Genet. Resour. 35(1): 44–48. iconpdf

  • Kumar, S., Vikas, V.K., Pradhan, A., Budhlakoti, N., Mishra D.C., Tilak, Bhardwaj S.C., Kumar, S., Sivasamy, M., Jayaprakash, P., R. Nisha, P. Shajitha, Peter, J., Geetha, M., Mir, R., and Singh,K. (2022). Multi-locus genome-wide association studies (ML-GWAS)reveal novel genomic regions associated with seedling and adult plant stage leaf rust resistance in bread wheat (Triticum aestivum L.) Heredityiconpdf

  • 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

  • Kumar, V., Sharma, A., Lal, S.B., Chaturvedi, K.K., Farooqi, Md. S., Mishra D.C., Sonkusale, L. and Kumar, R. Comparative analysis of genome browser for visualization of genetic variants. The Pharma Innovation Journal. AP-11(3):384-388. iconpdf

  • Tribhuvan, K.U., Singh, D.K., Pradhan, B., Bishi, S.K., Pandey, A., Kumar, S., Bhati, J., Mishra D.C., Das, A., Sharma, T.R., Pattanayak, A., Singh, B.K. (2022). Sequencing and de novo transcriptome assembly for discovering regulators of gene expression in Jack (Artocarpus heterophyllus), Genomics, Volume 114, Issue 3, 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

  • Thakur, A.K., Singh, K.H., Sharma, D., Parmar, N., Mishra D.C., Singh, L., Nanjundan J. (2022). Enriching the repertoire of SSR markers of Ethiopian mustard using cross-transferability approach. Plant Physiol. Rep.iconpdf

  • Tripathi, K., Kumari, J., Gore, P.G., Mishra D.C., Singh, A.K., Mishra, G.P., C. Gayacharan, Dikshit, H.K., Singh, N., Semwal, D.P., Mehra, R., Bhardwaj, R., Bansal, R., Rana, J.C., Kumar, A., Gupta, V., Singh, K., Sarker, A. (2022). Agromorphological characterization of lentil germplasm of Indian National Genebank and development of a core set for efficient utilization in lentil improvement programs. Frontiers in Plant Science, section Plant Breeding. iconpdf

  • Singh, A.K., Verma S.K., Mittal S., C. Gayacharan, Wankhede,D., Kumar, Parida,S. Chattopadhyay, D., Prasad, G.,Mishra D.C., Joshi, D.C., Singh M., Singh, K. (2022). Transcriptome analysis reveals key pathways and candidate genes controlling seed development and size in ricebean (Vigna umbellata) Frontiers in Genetics, section Plant Genomics. iconpdf

  • Mishra, G.P., Aski, M.S., Bosamia, T., Chaurasia, S., Mishra D.C., Bhati, J., Kumar, A., Javeria, S., Tripathi, K., Kohli, M., Kumar, R.R., Singh, A.K., Devi, J., Kumar,S., Dikshit, h.k. (2022). Insights Into the Host-Pathogen Interaction Pathways Through RNA-Seq Analysis of Lens culinaris Medik. in Response to Rhizoctonia bataticola Infection. Genes, 13, 90. 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

  • 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

  • Singh D.K., Pandey A., Choudhary S. B., Kumar S., Tribhuvan, K.U., Mishra, D.C., Bhati J., Kumar M., Tomar J.B., Bishnoi S. K., Mallick M.A., Bhadana V.P. , Sharma T.R., Pattanayak A., Singh B. K., (2021). Development of genic-SSR markers and their application in revealing genetic diversity and population structure in an Eastern and North-Eastern Indian collection of Jack (Artocarpus heterophyllus Lam.) Ecological Indicators. Volume 131, 108143. 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

  • 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

  • Kumar, P., Nimbal, S., Singh, R., Budhlakoti, N., Singh, V., Mishra, D.C. , Sagar and Choudhary, R.R., (2021). Identification of novel marker-trait associations for lint yield contributing traits in upland cotton (Gossypium hirsutum L.) using SSRs. Frontiers in Plant Science. 2021;12: 855 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

  • Mann, A., Kumar,N., Kumar, A., Lata, C., Kumar, A., Meena, B. L., Mishra, D.C. , Grover, M., Gaba, S., Parameswaran, C., & Mantri, N., (2021) de novo transcriptomic profiling of differentially expressed genes in grass halophyte Urochondra setulosa under high salinity Scientific Reports. (2021) 11:5548 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

  • 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

  • Anjum Arfa,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

  • Das Pankaj, Jha Girish Kumar, Lama Achal, Parsad Rajender and Mishra Dwijesh (2020). Empirical Mode Decomposition based Support Vector Regression for Agricultural Price Forecasting. Indian Journal of Extension Education Vol. 56, No. 2, 2020 (7-12).

  • Rajan Veena,Mishra Dwijesh Chandra, Budhlakoti Neeraj and Kumar Sundeep (2020). Prediction and validation of protein-protein interaction using protein 3D structure and physicochemical properties by the aid of support vector machine. Biotech Today, 10 (1):12 – 14.

  • 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

  • Singh, Shweta, Vinod Kumar Mishra, Ravindra Nath Kharwar, Neeraj Budhlakoti, Ram Narayan Ahirwar,Dwijesh Chandra Mishra, Sundeep Kumar et al. (2020). Genetic characterization for lesion mimic and other traits in relation to spot blotch resistance in spring wheat. PloS one 15: e0240029.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

  • Sikka Poonam *, Nath Abhigyan *, Paul Shyam Sundar, Andonissamy Jerome, Mishra Dwijesh Chandra, Rao Atmakuri Ramakrishna, Balhara Ashok Kumar, Chaturvedi Krishna Kumar, Yadav Keerti Kumar and Balhara Sunesh, 2020. Inferring Relationship of Blood Metabolic Changes and Average Daily Gain With Feed Conversion Efficiency in Murrah Heifers: Machine Learning Approach. Frontiers in Veterinary Science. 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.

  • 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

  • Ram Narayan Ahirwar, Vinod Kumar Mishra, Dwijesh Chandra Mishra, Neeraj Budhlakoti, Shweta Singh, Ramesh Chand (2020). Biplot analysis for spot blotch and yield trait using wami panel of spring wheat. Journal of Experimental Biology and Agricultural Sciences, 8(2): 115 – 124.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.

  • 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

  • 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

  • Kapil Choudhary, Girish Kumar Jha, Rajeev R Kumar and Dwijesh Chandra Mishra (2019). Agricultural commodity price analysis using ensemble empirical mode decomposition: A case study of daily potato price series. Indian Journal of Agricultural Sciences. Vol 89(5), pg 882-6. 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

  • 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

  • Ahirwar Ram Narayan, Mishra Vinod Kumar, Chand Ramesh, Budhlakoti Neeraj, Mishra Dwijesh Chandra, Kumar Sundeep, Singh Shweta, Joshi Arun Kumar (2018). Genome-wide association mapping of spot blotch resistance in wheat association mapping initiative (WAMI) panel of spring wheat (Triticum aestivum L.). PLOS ONE. pp 1–20. 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.

  • 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 RR, Goswami S, Singh K, Dubey K, Rai GK, Singh B, Singh S, Grover M, Mishra D, Kumar S, Bakshi S, Rai A, Pathak H, Chinnusamy V, Praveen S, 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 (2010),NAAS Rating : 8.667 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.

  • 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.

  • 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

  • D.C Mishra, 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.

  • Monendra Grover,D. 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.

  • Srivastava, S, Lal, SB, Mishra, DC, Angadi, UB, Chaturvedi, KK, Rai, SN and Rai, A (2016). An efficient algorithm for protein structure comparison using elastic shape analysis. Algorithms for Molecular Biology, 11, 27, DOI: 10.1186/s13015-016-0089-1.

  • Rai, N, Mishra, DC, Kumar, S, Rai, A, Chaturvedi, KK, Lal, SB, Kumar, A, Farooqi, MS, Majumdar, PG, and Archak, S. (2016). Genome analysis of Rhizobium species using codon usage bias tools International Conference on Bioinformatics and Systems Biology (BSB, 2016). IEEE Xplore digital library, Page(s):1 – 4.

  • Kumar, RR, Goswami, S, Singh, K, Dubey, K, Singh, S, Sharma, R, Verma, N, Kala, YK, Rai, G, Grover, M, Mishra, DC, 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. Frontier in Plant Sciences. DOI: 10.3389/fpls.2016.00986.

  • Goswami, S, Kumar, RR, Dubey, K, Singh, JP, Tiwari, S, Kumar, A Smita, S, Mishra, DC, Kumar, S, Grover, M, Padaria, JC, Kala,YK, Singh, GP, Himanshu Pathak, H, Chinnusamy, V, Rai, A, Praveen, S and Rai, RD (2016). SSH analysis of endosperm transcripts and characterization of heat stress regulated expressed sequence tags in bread wheat. Frontiers in Plant Science, 7, 1230

  • Singh, BK, Mishra, DC, Yadav, S, Ambawat, S, Vaidya, E, Tribhuvan, KU, Kumar, A, Kumar, S, Kumar, S, Chaturvedi, KK, Rani R, Yadav, P, Rai, A, Rai, PK, Singh, VV, Singh, D (2016). Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian Mustard (Brassica juncea). Journal of Plant Biochemistry and Biotechnology. DOI: 10.1007/s13562-016-0353-y.

  • 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.

  • Md. Samir Farooqi, Mishra D. C., Niyati Rai, DP Singh, Anil Rai, 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.

  • Singh Binay K, Mishra D. C., Yadav Sushma, Ambawat Supriya, Vaidya Era, Tribhuvan Kishor U, Kumar Arun, Kumar Sujith, Sanjeev Kumar, Chaturvedi, K.K., Rani Reema, Yadav Prashant, Rai Anil, Rai P. K, Singh V. V, Singh Dhiraj. (2016). “Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian Mustard (Brassica juncea)”. Journal of Plant Biochemistry and Biotechnology. DOI: 10.1007/s13562-016-0353-y.

  • Nigam Deepti, Kadimi Puneet K, Sanjeev Kumar, Mishra D. C., and Rai Anil. (2015). “Computational analysis of miRNA-targets Community Network reveals cross talk of different metabolism” Genomics Data. http://dx.doi.org/ 10.1016/j.gdata.2015.04.028.

  • Grover Monendra, Mishra D. C.,(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 D. C., (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.

  • Farooqi Md. Samir, Sanjukta R K, Mishra D. C., Singh D P, Rai Anil, Chaturvedi K K and Sharma Naveen (2014) In silico analysis of synonymous codon usage pattern of Rhizobium etli CFN 42, Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. http://dx.doi.org/10.1007/s40011-014-0457-x.

  • 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.

  • Nigam, D., Sanjeev Kumar, 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, http://dx.doi.org/10.1016/j.gene.2014.10.054.

  • Chauhan, JS, Singh, KH and Mishra D. C., (2013). AMMI and bi-plot analyses to identify stablegenotypes of Indian mustard (Brassica juncea L.) for oil and seed meal quality characters. SABRAOJ. Breed. Genet., 45(2): 195-202.

  • 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”.

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

  • 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.

  • Mohammad Samir Farooqi, Rajkumari Sanjukta, Naveen Sharma, Anil Rai, Mishra D. C., Dhananjaya P Singh & K K Chaturvedi (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. iconpdf

  • Sanjukta RK, Anil Rai, Niyati Rai, Md. Samir Farooqi, Naveen Sharma, Mishra D. C., and Dhananjaya P Singh (2013). Expression Analysis of Genes Responsible for Amino Acid Biosynthesis in Halophilic Bacterium Salinibacter ruber. Indian Journal of Biochemistry and Biophysics, 50(3): 177-185. iconpdf

  • Sanjukta RK, Farooqi MS, Sharma N, Rai N, Mishra D. C., Rai A, Singh DP, Chaturvedi KK (2013). Statistical analysis of codon usage in extremely halophilic bacterium Salinibacter ruber DSM13855. Online Journal of Bioinformatics, 14(1): 15-31. iconpdf

  • K.K. Chaturvedi, S.B. Lal, Naveen Sharma, Md. Samir Farooqi, Mishra D. C., (2013). सूक्ष्मजीवों में जीनों की अभिव्यक्ति. नई उम्मीद, 5(1).

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

  • Singh Nripendra V., Singh Sanjay K., Singh Anand K.,Meshram Deodas T.,Surosh Sachin S. and Mishra D. C., (2012). Arbuscular Mycorrhizal Fungi (AMF) induced hardening of micropropagated pomegranate (Punica granatum L.) plantlets. Scientia Horticulturae, 136: 122-127.

  • Sud, U.C., Mishra D. C., (2008). Estimation of Finite Population Mean Using Double Ranked Set Sampling. Journal of the Indian Society of Agricultural Statistics, 62(3): 203-207.

  • Sud, U.C., Mishra D. C., (2006). Estimation of Finite Population Mean Using Two Stage Ranked Set Sampling Design. Journal of the Indian Society of Agricultural Statistics, 60(2): 108-117.



    • Book Chapter:


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


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