Dr. Rajnish Kumar – Associate Professor | SR University

Dr. Rajnish Kumar

Dr. Rajnish Kumar

Associate Professor, Assistant Dean Research • Department of Computer Science & Artificial Intelligence

PhD from

Years of Experience

12 Years

Web Pages

Contact Details

rajnish.kumar@sru.edu.in

Availability

FC 37 Room No 10202, 8.30 AM to 5.30 PM

I am from Interdisciplinary academic background currently working in area of AI, Machine Learning, Genomics, Transcriptomics & Proteomics. Also, I am involved in study transcriptional regulation using chip-seq, Cut & Run data. Currently special interest in exploring potential use of single cell RNA-seq and Spatial transcriptomics to study regulation at cellular level.

Interests

AI Machine learning Multi-omics Single cell RNA-seq & Spatial Transcriptomics

Research Areas

Placental Developmental Biology Circular RNAs & lncRNAs Algorithms of Sequence Analysis Reproductive Genomics

PhD in Bioinformatics

2020

Indian Institute of Information Technology Allahabad

M.Tech IT (Specialization in Bioinformatics)

2012

Indian Institute of Information Technology Allahabad

M.Sc (Bioinformatics)

2010

Bioinformatics Center, University of Pune

B.Sc (Mathematics)

2006

TNB College Bhagalpur

Associate Professor

2026-Present

SR University

Postdoctoral fellow

2021-2026

University of Kansas Medical center

Bioinformatics Scientist

2019-2021

Neuberg Supratech Reference Labs, Ahmedabad

BINC-JRF

2012-2014

CSIR-IHBT Palampur

→ AI-Assisted Coding

Key Publications

Kumar R, Dasgupta P, Ray S, Paul S. An Integrated Proteomics and Genomics Approach to Identify Essential Protein Kinases During Human Trophoblast Development. FASEB J. 2026 Sep 15;40(17). Impact factor: 4.3 | Q1 (17.5 Percentile) | WILEY | ISSN 0892-6638
Dasgupta P, Kumar R, Ray S, Roy N, Niloy AJ, Vallakati M, Marsh C, Arnold SJ, Paul S. Arginine methyltransferase PRMT1 equipoises trophoblast development to prevent early pregnancy loss. Nat Commun. 2026 Jul 10;17(1):8543. Impact factor: 18.1 | Q1 | (5.4 Percentile) | NATURE PORTFOLIO | ISSN 2041-1723
Ghosh A, Kumar R, Kumar RP, Ray S, Saha A, Roy N, Dasgupta P, Marsh C, Paul S. The GATA transcriptional program dictates cell fate equilibrium to establish the maternal-fetal exchange interface and fetal development. Proc Natl Acad Sci U S A. 2024 Feb 20;121(8). Impact factor: 9.5 | Q1(9.6 Percentile) | NATL ACAD SCIENCES | ISSN: 1091-6490
Kumar, Rajnish, Rajkrishna Mondal, Tapobrata Lahiri, and Manoj Kumar Pal. “Application of Sequence Semantic and Integrated Cellular Geography Approach to Study Alternative Biogenesis of Exonic Circular RNA.” BMC Bioinformatics 24, no. 1 (April 17, 2023): 148. Impact factor: 4.4 | Q1(12.7 Percentile) | BMC | ISSN: 1471-2105
Ray, Soma, Abhik Saha, Ananya Ghosh, Namrata Roy, Ram P. Kumar, Gudrun Meinhardt, Abhirup Mukerjee, Sumedha Gunewardena, Rajnish Kumar, Martin Knöfler, Soumen Paul. “Hippo Signaling Cofactor, WWTR1, at the Crossroads of Human Trophoblast Progenitor Self-Renewal and Differentiation.” Proceedings of the National Academy of Sciences of the United States of America 119, no. 36 (September 6, 2022): e2204069119. Impact factor: 9.5 | Q1(9.6 Percentile) | NATL ACAD SCIENCES | ISSN: 1091-6490
Kumar, Gautam, Rajnish Kumar, Manoj Kumar Pal, Nilotpal Pramanik, Tapobrata Lahiri, Ankita Gupta, and Saket Pandey. “APT: An Automated Probe Tracker from Gene Expression Data.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 18, no. 5 (2021): 1864–74. Impact factor: 0.1 | Q4 (99.9 Percentile) | IEEE COMPUTER SOC | ISSN: 1545-5963
Pal, Manoj Kumar, Tapobrata Lahiri, and Rajnish Kumar. “ProtPCV: A Fixed Dimensional Numerical Representation of Protein Sequence to Significantly Reduce Sequence Search Time.” Interdisciplinary Sciences, Computational Life Sciences 12, no. 3 (September 2020): 276–87. Impact factor: 5.2 | Q1(11.2 Percentile) | SPRINGER HEIDELBERG | ISSN 1913-2751
Kumar, Rajnish, and Tapobrata Lahiri. “EcircPred: Sequence and Secondary Structural Property Based Computational Identification of Exonic Circular RNAs.” Computational Biology and Chemistry 77 (1 December 2018): 28–35. Impact factor: 3.4 | Q1 (23.1 Percentile) | ELSEVIER SCI LTD | ISSN: 1476-9271
Pal, Manoj Kumar, Tapobrata Lahiri, Garima Tanwar, and Rajnish Kumar. “An Improved Protein Structure Evaluation Using a Semi-Empirically Derived Structure Property.” BMC Structural Biology 18, no. 1 (December 12, 2018): 16. Impact factor: 3.0 | Q3(65 Percentile) | BMC | ISSN: 1472-6807
Kumar, Rajnish, Bharat Kumar Mishra, Tapobrata Lahiri, Gautam Kumar, Nilesh Kumar, Rahul Gupta, and Manoj Kumar Pal. “PCV: An Alignment Free Method for Finding Homologous Nucleotide Sequences and Its Application in Phylogenetic Study.” Interdisciplinary Sciences, Computational Life Sciences 9, no. 2 (29 January 2017): 173–83. Impact factor: 5.2 | Q1 (11.2 Percentile) | SPRINGER HEIDELBERG | ISSN 1913-2751
Chawla, Vandna, Rajnish Kumar, and Ravi Shankar. “Identifying Wrong Assemblies in de Novo Short Read Primary Sequence Assembly Contigs.” Journal of Biosciences 41, no. 3 (September 2016). Impact factor: 1.7 | Q3 (55.2 Percentile) | INDIAN ACAD SCIENCES | ISSN: 0973-7138