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(623) 225-5230. Molecular Evolution and Biomedicine. Big data are now ubiquitous in genomics and biology, offering unprecedented opportunities from personalized medicine to building the tree of life. We excel in integrating mathematical and computational techniques into evolutionary biology and biomedicine.
Sudhir Kumar. Director, iGEM, Carnell Professor of Biology, Temple University.
We use integrative and comparative approaches to make fundamental discoveries in the fields of phylomedicine, molecular evolution, and functional genomics. Download Online Brochure. Laboratory website of Sudhir Kumar.
Sudhir Kumar. s.kumar@temple.edu. 215-204-1647. Molecular Evolution and Biomedicine. Big data are now ubiquitous in genomics and biology, offering unprecedented opportunities from personalized medicine to building the tree of life. We excel in integrating mathematical and computational techniques into evolutionary biology and biomedicine.
Sudhir KUMAR, Director and Professor | Cited by 258,019 | of Temple University, PA (TU) | Read 302 publications | Contact Sudhir KUMAR
Aug 24, 2021 · Sudhir Kumar. Founding Director, Institute for Genomics and Evolutionary Medicine (iGEM) Laura H. Carnell Professor, Department of Biology Professor, Department of Computer & Information Sciences Temple University, SERC 602A, Philadelphia, Pennsylvania, PA 19122, USA s.kumar@temple.edu | +1-623-225-5230 | www.kumarlab.net | igem.temple.edu.
Sudhir Kumar is a Laura H. Carnell Professor at the Department of Biology, Temple University, and Director of the Institute for Genomic and Evolutionary Medicine (iGEM). Kumar has been a leader in integrating mathematical and computational techniques into evolutionary biology and biomedicine.
Sudhir Kumar (Senior Member, IEEE) received the Ph.D. degree from the Electrical Engineering (EE) Department, Indian Institute of Technology Kanpur, Kanpur, India, in 2015. He is currently an Associate Professor with the EE Department, Indian Institute of Technology Patna, Patna, India.
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We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets.
