PhD in Bioinformatics degree with 3+ years of postdoc. Expertise in next generation sequencing data (genotyping by sequencing, whole genome resequencing, targeted sequencing, exome sequencing, RNA sequencing , small RNAseq, scRNA-Seq methylome sequencing, Chip-Seq, ATAC-Seq) analysis using shell scripting, R, Perl and Python coding in linux environment using fast high-performance computing (HPC) server and storage. Experience Next generation sequencing library preparation, array based and florescent dye-based SNP genotyping sample preparation.
1) Next generation sequencing data (genotyping by sequencing, whole genome resequencing, targeted sequencing, exome sequencing, RNA sequencing, small RNAseq, scRNA-Seq methylome sequencing, Chip-Seq, ATAC-Seq) analysis and development of new in silico pipelines and tools.
2) Next generation sequencing library preparation, array based and florescent dye-based SNP genotyping sample preparation.
3) Shell scripting, R, Perl and Python coding in linux environment using fast high-performance computing (HPC) server and storage.
4) Draft/reference genome/organelle assembly (Annotation of genomes, phylogenetic and synteny analysis).
5) Genome wide association analysis and QTL mapping.
6) Co-expression networks, gene set enrichment strategies, meta-correlations, pathway analysis, gene ontology, cluster and network analysis.
7) Database Designing and development (PHP, MySQL, HTML).
8) Trained model on dataset using different machine learning approaches.
9) Support to scientist by training them in design of experiment, selection of bioinformatics tools and data analysis that helped them to improve research quality and product development.
Work Summary: Experiment designing and development of known and novel markers for fluorescent dye-labelled SNP genotyping platform (LGC Array tape/KASP) and data analysis. Sample preparation for array-based SNP genotyping platform (Affymetrix gene titan multichannel instrument) and data analysis. Collected markers of plant and animals from publicly available markers in order to make repository for genotyping/fingerprinting. Pipeline for reference/de-novo based variant (SNP/Indel/structural variants) identification from core collection, wild germplasm and different mapping population data. Identification of variants (SNP/Indel/CNV) associated with aspirin resistance in human from exome sequencing data.
Work Summary: Draft genome assembly, evaluation and annotation of a popular Indian tea genotype TV-1. Identification of repeat region in tea genome and de-novo assembly of tea transcriptome, under the project entitled “Decoding of tea genome for identification of agronomically important genes”.
During this period, I have used system biology approach to study genome to phenome correlation in type 2 diabetes under the project entitled “Diabetes mellitus - New drug discovery R & D, molecular mechanisms and genetic and epidemiological factors” under guidance of Dr Abhay Sharma and Dr Dwaipayan Bharadwaj.
NGS Data analysis
1. Total number of Publications: 22
a. H Index: 9
b. Citation 415
c. Total Impact Factor: 61.029
PUBLICATION
First / Corresponding Author: 6
1) Priya S., Tripathi G., Singh DB., Jain P., Kumar A. Machine learning approaches and their applications in drug discovery and design https://doi.org/10.1111/cbdd.14057 (2022).
2) Jain P, Hussain S, Nishad J, Dubey H, Bisht DS, Sharma TR, Mondal TK. Identification and functional prediction of long non-coding RNAs of rice (Oryza sativa L.) at reproductive stage under salinity stress. Molecular Biology Reports. 10.1007/s11033-021-06246-8 (2021).
3) Jain P, Dubey H, Singh PK, Solanke AU, Singh AK, Sharma TR. Deciphering signalling network in broad spectrum Near Isogenic Lines of rice resistant to Magnaporthe oryzae. Scientific Reports. 9: 16939 (2019).
4) Jain P, Singh PK, Kapoor R, Khanna A, Solanke AU, Singh AK, Gopala Krishnan S, Sharma V, Sharma TR. Understanding Host-Pathogen Interactions with Expression Profiling of NILs Carrying Rice-Blast Resistance Pi9 Gene. Frontiers in Plant Science 8:1-20 (2017).
5) Jain P, Sharma V, Dubey H, Singh PK, Kapoor R, Kumari M, Singh J, Pawar D, Bisht D, Solanke AU, Mondal TK, Sharma TR. Identification of long non-coding RNA in rice lines resistant to Rice blast pathogen Magnaporthe oryzae. Bioinformation. 13:249-55 (2017).
6) Jain P, Vig S, Datta M, Jindel D, Mathur AK, Mathur SK, Sharma A. Systems Biology Approach Reveals Genome to Phenome Correlation in Type 2 Diabetes. PLoS One 8: e53522 (2013).
Co-author: 16
7) BN Devanna, Jain P et al. Understanding the dynamics of blast resistance in rice Magnaporthe oryzae interactions. Fungal Genomics, Genetics and Molecular Biology. (2022) (Accepted)
8) Kumar V, Jain P, Venkadesan S, Karkute SG, Bhati J, Abdin MZ, Sevanthi AM, Mishra DC, Chaturvedi KK, Rai A, Sharma TR, Solanke, AU. Understanding Rice-Magnaporthe Oryzae Interaction in Resistant and Susceptible Cultivars of Rice under Panicle Blast Infection Using a Time-Course Transcriptome Analysis. Genes-Basel.12 (2021).
9) Devanna BN, Jaiswal R, Singh PK, Kapoor R, Jain P, Kumar G, Sharma Y, Sharma TR. Role of transporters in plant disease resistance. Physiologia Plantarum ppl.13377 (2021).
10) Singh PK, Mahato AK, Jain P, Rathour R, Sharma V, Sharma TR. Comparative Genomics Reveals the High Copy Number Variation of a Retro Transposon in Different Magnaporthe Isolates. Frontiers in Microbiology 10:966 (2019).
11) Kapoor R, Kumar G, Arya P, Jaswal R, Jain P, Singh K, Sharma TR. Genome-Wide Analysis and Expression Profiling of Rice Hybrid Proline-Rich Proteins in Response to Biotic and Abiotic Stresses, and Hormone Treatment. Plants (Basel). 8 (2019).
12) Dubey H, Kiran K, Jaswal R, Jain P, Kayastha AM, Bhardwaj SC, Mondal TK, Sharma TR. Discovery and profiling of small RNAs from Puccinia triticina by deep sequencing and identification of their potential targets in wheat. Functional Integrative Genomics. 19:391-407 (2019).
13) Sharma TR, Devanna BN, Kiran K, Singh PK, Arora K, Jain P, Tiwari IM, Dubey H, Saklani B, Kumari M, Singh J, Jaswal R, Kapoor R, Pawar DV, Sinha S, Bisht DS, Solanke AU, Mondal TK. Status and Prospects of Next Generation Sequencing Technologies in Crop Plants. Current Issues in Molecular Biology 27:1-36 (2018).
14) Singh J, Devanna BN, Mishra P, Jain P, Upadhyay A, Sharma TR. Comparative evaluation of independent blast resistance transgenic lines containing Pi54 and its orthologue genes Pi54rh and Pi54of. Oryza 55: 493-499 (2018).
15) Pawar DV, Singh PK, Singh J, Dubey H, Jain P, Sharma TR, Singh NK. An Efficient Protocol for Embryogenic Callus Induction and Whole Plant Regeneration in Oryza Rufipogon WRA21. Indian Research Journal of Genetics and Biotechnology 10:1-11 (2018).
16) Kumari A, Jain P, Kamboj R, Sharma TR. RNA Seq reveals Differential Regulation of Genes in Resistant and Susceptible rice varieties during early phases of infection with Rhizoctonai solani. Indian Journal of Genetics and Plant Breeding. 77:475 (2017).
17) Sharma TR, Das A, Thakur S, Devanna BN, Singh PK, Jain P, Vijayan J, Kumar S. Oscillating Transcriptome during Rice Magnaporthe Interaction. Current Issues in Molecular Biology. 19:99-120 (2015).
18) Krishnan V, Jain P, Vinutha T, Hada A, Manickavasagam M, Ganapathi A, Rai RD, Sachdev A. Molecular modeling and in silico characterization of Glycine max Inositol (1,3,4) tris 5/6 kinase-1 (Gmitpk1)- a potential candidate gene for developing low phytate soybean transgenics. Plant Omics Journal 8:381-391 (2015).
19) Mathur SK, Jain P, Mathur P, Punjabi P, Agarwal A, Sharma A. Transcriptomic analysis of visceral adipose from healthy and diabetic obese subjects. Indian Journal of Endocrine Metabolism 17:446-50 (2013).
20) Tabassum R, Chauhan G, Dwivedi OP, Mahajan A, Jaiswal A, Kaur I, INDICO et al. Genome-Wide Association Study for Type 2 Diabetes in Indians Identifies a New Susceptibility Locus at 2q21. Diabetes 62: 977-8 (2013).
21) Consortium IND. INDICO: the development of a resource for epigenomic study of Indians
undergoing socioeconomic transition. Hugo Journal 5:65-9 (2011).
22) Mathur SK, Jain P, Mathur P. Microarray Evidences the Role of Pathologic Adipose Tissue in Insulin Resistance and Their Clinical Implications. Journal of Obesity 2011:16 (2011).
BOOK CHAPTER
1) Devanna BN, Rajashekara, H, Raghu S, Singh PK, Jain P, Parameswaran C, Singh J, K Arora, Samantaray S, Katara JL, Verma RL. Blast Disease of Cereal Crops - Evolution and Adaptation in Context of Climate Change. Chapter: Advances in Genetics and Genomics for Management of Blast Disease in Cereal Crops. DOI: 10.1007/978-3-030-60585-8_12 April 2021. (https://www.springer.com/gp/book/9783030605841).
2) Sharma S., Kumar K., Tribhuvan KS., Jain P., Kishor Gaikwad et al. High‐throughput Genotyping Platforms (2022). DOI: 10.1002/9781119745686.ch2. In book: Genotyping by Sequencing for Crop Improvement.
Fellowship from Indian Academy of Sciences (IAS), Bangalore, Indian National Science Academy New Delhi, National Academy of sciences, Allahabad
1) SRP153207 (24 samples): Comparative transcriptome study of resistant NILs PB1+Pi1 and PB1+Pi54 and susceptible rice line (PB1) after M. oryzae inoculation (2019).
2) GSE136672 (16 samples): RNA-seq profiling of Tetep (resistant) and HP2216 (susceptible) in rice lines at 0, 48, 72, and 96 hours post infection after M. oryzae inoculation in panicle (2019).
3) SRP075722 (12 samples): Expression profiling of resistant NIL (PB1+Pi9) and susceptible rice line (PB1) 24 hours after M. oryzae inoculation (2017).
4) GSE29221 (24 samples) Global gene expression profiles of skeletal muscle in males with Type 2 Diabetes (2012).
5) GSE29226 (24 samples) Global gene expression profiles of subcutaneous adipose in females with type 2 Diabetes (2012).
6) GSE29231 (24 samples) Global gene expression profiles of Visceral Adipose in Females with type 2 Diabetes (2012).
7) GCST001759 Genome-wide genotyping array (2012)
Discovery samples:1,101 Indo-European ancestry cases and 1,027 Indo-European ancestry controls.
Replication samples: 3,607 Indo-European ancestry cases, 2,924 Indo-European ancestry controls, 1,184 Dravidian ancestry cases, 1,061 Dravidian ancestry controls, 11,28 European ancestry cases, 11,285 European ancestry controls.
1) Training to scientist on “QTL analysis and genome-wide association studies", ICAR-IASRI, New Delhi from February 15-24, 2022.
2) Training to scientist on “Genome-wide association studies and its application in Agriculture”, ICAR-IASRI, New Delhi from March 15-24, 2022.
3) National Webinar on Biotechnological Challenges in Drug Discovery for Covid-19 May 16, 2020 Organized by Department of Biotechnology T. N. B. College Bhagalpur (NAAC Accredited Grade ‘A’) Bhagalpur-812007, Bihar.
4) International Webinar on Emerging Challenges from Mucurmycosis and Variants of Coronavirus: Precaution and Prevention May 29 - 30 2021 Organized by Department Of Biotechnology T. N. B. College Bhagalpur (NAAC Accredited Grade ‘A’) Bhagalpur-812007, Bihar.
5) Invited Lecture from GENOMIKI on Variant Calling Using Reference Genome.
6) Invited Lecture from GENOMIKI In Workshop Entitled Understanding Covid Genomes On 5 To 7 February 2021.
Young Researcher Award (INSc)
CSIR SRF
GATE
CSIR NET JUNE 2008
GATE
CSIR NET JUNE 2008
Fellowship from Indian Academy of Sciences (IAS), Bangalore, Indian National Science Academy New Delhi, National Academy of sciences, Allahabad