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Showing 1–4 of 4 results

Advanced filters: Author: Chet Birger Clear advanced filters

Genetic and transcriptional evolution alters cancer cell line drug response

The extent, origins and consequences of genetic variation within human cell lines are studied, providing a framework for researchers to measure such variation in efforts to support maximally reproducible cancer research.

Uri Ben-David
Benjamin Siranosian
Todd R. Golub
Research08 Aug 2018
Nature

Volume: 560, P: 325-330
PANOPLY: a cloud-based platform for automated and reproducible proteogenomic data analysis

D. R. Mani
Myranda Maynard
Steven A. Carr
Correspondence26 May 2021
Nature Methods

Volume: 18, P: 580-582
Characterizing genomic alterations in cancer by complementary functional associations

Complementary genomic features associated with pathway activation, gene dependency and drug sensitivity are uncovered using REVEALER.

Jong Wook Kim
Olga B Botvinnik
Pablo Tamayo
Research18 Apr 2016
Nature Biotechnology

Volume: 34, P: 539-546
Toil enables reproducible, open source, big biomedical data analyses

John Vivian
Arjun Arkal Rao
Benedict Paten
Correspondence11 Apr 2017
Nature Biotechnology

Volume: 35, P: 314-316