The Bioconductor channel in F1000Research

Wolfgang Huber; Vincent Carey; Sean Davis; Kasper Daniel Hansen; Martin Morgan

doi:10.12688/f1000research.6758.2

The Bioconductor channel in F1000Research

F1000Res. 2015 Jul 10:4:217. doi: 10.12688/f1000research.6758.2. eCollection 2015.

Authors

Wolfgang Huber¹, Vincent Carey², Sean Davis³, Kasper Daniel Hansen⁴, Martin Morgan⁵

Affiliations

¹ EMBL, 69117 Heidelberg, Germany.
² Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
³ Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
⁴ McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, 21205, USA.
⁵ Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.

Abstract

Bioconductor ( bioconductor.org) is a rich source of software and know-how for the integrative analysis of genomic data. The Bioconductor channel in F1000Research provides a forum for task-oriented workflows that cover a solution to a current, important problem in genome-scale data analysis. It also hosts manuscripts describing software packages, package-based vignettes, teaching labs, benchmark studies, methodological reviews and bioinformatics software oriented perspective papers.

Keywords: Bioconductor; R; bioinformatics; genomics; statistical computing; systems biology.

Grants and funding

W.H. acknowledges support by the European Commission through FP7 project RADIANT.