Journal article
Bioconductor: open software development for computational biology and bioinformatics
GenomeBiology.com, Vol.5(10), pp.R80-R80
01/01/2004
DOI: 10.1186/gb-2004-5-10-r80
PMCID: PMC545600
PMID: 15461798
Abstract
A detailed description of the aims and methods of the Bioconductor project, an initiative for the collaborative creation of extensible software for computational biology and bioinformatics.
The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into interdisciplinary scientific research, and promoting the achievement of remote reproducibility of research results. We describe details of our aims and methods, identify current challenges, compare Bioconductor to other open bioinformatics projects, and provide working examples.
Details
- Title: Subtitle
- Bioconductor: open software development for computational biology and bioinformatics
- Creators
- Robert C Gentleman - Harvard UniversityVincent J Carey - Brigham and Women's HospitalDouglas M Bates - University of Wisconsin–MadisonBen Bolstad - University of California, BerkeleyMarcel DettlingSandrine Dudoit - University of California, BerkeleyByron Ellis - Harvard UniversityLaurent Gautier - Technical University of DenmarkYongchao Ge - Icahn School of Medicine at Mount SinaiJeff Gentry - Harvard UniversityKurt Hornik - TU WienTorsten Hothorn - Friedrich-Alexander-Universität Erlangen-NürnbergWolfgang Huber - German Cancer Research CenterStefano Iacus - University of MilanRafael Irizarry - Johns Hopkins UniversityFriedrich Leisch - TU WienCheng Li - Harvard UniversityMartin MaechlerAnthony J Rossini - University of WashingtonGunther SawitzkiColin Smith - Scripps Research InstituteGordon Smyth - Walter and Eliza Hall Institute of Medical ResearchLuke Tierney - University of IowaJean YH Yang - Center for Bioinformatics and Molecular Biostatistics, Univerisity of California, San Francisco, San Francisco, USAJianhua Zhang - Harvard University
- Resource Type
- Journal article
- Publication Details
- GenomeBiology.com, Vol.5(10), pp.R80-R80
- DOI
- 10.1186/gb-2004-5-10-r80
- PMID
- 15461798
- PMCID
- PMC545600
- NLM abbreviation
- Genome Biol
- ISSN
- 1465-6906
- eISSN
- 1465-6914
- Publisher
- BioMed Central
- Language
- English
- Date published
- 01/01/2004
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9984257611402771
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