Anuj Srivastava, Ph.D.
Associate Director, Genome Informatics
Explore and understand the biology of cancer by application and development of computational methods.
Recent advances in DNA sequencing technology led to the generation of vast amounts of sequencing data and provided an unprecedented opportunity to understand the complexity of the genome. However, this massive flood of sequencing data also created challenges in mining patterns of interest from this data. Moreover, the diversity of datasets [RNA-SEQ, ChIP-Seq, Exome, Whole-Genome, ATAC-Seq, HiC, etc.] generated from various technologies also demand more integrated evaluation across multiple sequencing platforms and data types. My dissertation focused on deriving meaningful patterns from these datasets generated from both model and non-model species, studying the variations in non-coding RNA (ncRNA) secondary structure, and developing novel methods for ncRNA detection in the genome using patterns of chromatin modifications. In my role as an associate computational scientist (2014-2016), computational scientist (2016-2019), and then Senior computational scientist (2019-2021) at The Jackson Laboratory (JAX), I worked and led various research projects in collaboration with the faculty. I currently serve as an Associate Director of the Genome Informatics group in the Jackson Laboratory, Department of Computational Sciences and lead a large team of Computational scientists and Bioinformatics Analysts. My group at JAX primarily focused on building systems/algorithms to effectively analyze next-generation sequencing data generated from various sequencing technologies from humans and mice. We have developed particular expertise in the analysis of patient-derived xenograft (PDX) cancer samples as a part of the NCI PDXNet and Pivot program. To sum up, my team focuses on research and building effective systems to help facilitate the research.
Additional links
https://www.pdxnetwork.org/pdccc
https://preclinicalpivot.org/
Education and experience
University of Georgia, Athens
Ph.D. Bioinformatics
Adv: Dr. Russell L. Malmberg
2007-2011
SASTRA Deemed University
M.Tech Bioinformatics
2004-2006
BBDNITM
Bachelor in Pharmacy
2000-2004
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Research HighlightOctober 04, 2022Defining lung cancer
Carol Bult is leading a team that has laid the groundwork for advancements in non-small cell lung cancer research using patient derived xenograft (PDX) mice.
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Tech CornerJune 17, 2019The genome of Eve (the mouse)
C57BL/6—aka Black 6—is the most widely used mouse strain in research. Its reference genome was published in 2003 and has been carefully curated over the years since.