The Bioconductor channel in F1000Research.

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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.

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Author and article information

Journal

Journal ID (iso-abbrev): F1000Res

Title: F1000Research

Publisher: F1000 Research, Ltd.

ISSN (Print): 2046-1402

Publication date (Electronic): 2015

Volume: 4

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.

Article

DOI: 10.12688/f1000research.6758.2

PMC ID: 4786899

PubMed ID: 26998224

SO-VID: c7b1e0b8-d157-4c27-991c-005792da187c

History

Keywords: Bioconductor,R,bioinformatics,genomics,statistical computing,systems biology

Data availability:

Keywords: Bioconductor, R, bioinformatics, genomics, statistical computing, systems biology

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