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Sahil Seth
PeerJ Reviewer
510 Points

Contributions by role

Reviewer 110
Editor 400

Contributions by subject area

Oncology
Surgery and Surgical Specialties
Epidemiology
Pathology
Women's Health
Genomics
Cardiology
Gynecology and Obstetrics
Bioinformatics
Genetics
Cell Biology
Molecular Biology
Global Health
Public Health
Statistics
Ecohydrology
Computational Biology
Biochemistry
Plant Science
Natural Resource Management

Sahil Seth

PeerJ Reviewer

Summary

Computational (Biologist), Scientist at MD Anderson Cancer Center.
Made contributions to several large scale cancer genomic studies, as part of The Cancer Genome Atlas (TCGA) project.
Interested in studying evolutionary dynamics in cancer, understanding resistance mechanisms and inform on targetted therapies.
Developing methods to enhance integrative analysis of large-scale genomic datasets.
Avid proponent of open-source software, with a few packages on CRAN.

Bioinformatics Biotechnology Computational Biology Data Mining & Machine Learning Data Science Databases Distributed & Parallel Computing Genetics Genomics Molecular Biology Oncology Software Engineering Statistics Translational Medicine Visual Analytics

Past or current institution affiliations

Harvard University

Work details

Computational (Biologist), Scientist

MD Anderson Cancer Center
November 2011
Genomic Medicine

Bioinformatics Analyst

Harvard University
May 2011 - October 2011
Dana-Farber Cancer Institute

Websites

  • Sahil Seth
  • Google Scholar
  • GitHub
  • GitHub

PeerJ Contributions

  • Edited 2
  • Reviewed 1

Academic Editor on

August 23, 2018
Transcriptome analysis and identification of key genes involved in 1-deoxynojirimycin biosynthesis of mulberry (Morus alba L.)
Dujun Wang, Li Zhao, Dan Wang, Jia Liu, Xiaofeng Yu, Yuan Wei, Zhen Ouyang
https://doi.org/10.7717/peerj.5443 PubMed 30155358
March 16, 2018
pcr: an R package for quality assessment, analysis and testing of qPCR data
Mahmoud Ahmed, Deok Ryong Kim
https://doi.org/10.7717/peerj.4473 PubMed 29576953

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

June 25, 2018
Hi-MC: a novel method for high-throughput mitochondrial haplogroup classification
Sandra Smieszek, Sabrina L. Mitchell, Eric H. Farber-Eger, Olivia J. Veatch, Nicholas R. Wheeler, Robert J. Goodloe, Quinn S. Wells, Deborah G. Murdock, Dana C. Crawford
https://doi.org/10.7717/peerj.5149 PubMed 29967758