Bioconductor: open software development for computational biology and bioinformatics

被引：9659

作者：

Gentleman, RC

Carey, VJ

Bates, DM

Bolstad, B

Dettling, M

Dudoit, S

Ellis, B

Gautier, L

Ge, YC

Gentry, J

Hornik, K

Hothorn, T

Huber, W

Iacus, S

Irizarry, R

Leisch, F

Li, C

Maechler, M

Rossini, AJ

Sawitzki, G

Smith, C

Smyth, G

Tierney, L

Yang, JYH

Zhang, JH

机构：

[1] Dana Farber Canc Inst, Dept Biostat Sci, Boston, MA 02115 USA

[2] Brigham & Womens Hosp, Channing Lab, Boston, MA 02115 USA

[3] Univ Wisconsin, Dept Stat, Madison, WI 53706 USA

[4] Univ Calif Berkeley, Div Biostat, Berkeley, CA 94720 USA

[5] ETH Zentrum, Seminar Stat LEO C16, CH-8092 Zurich, Switzerland

[6] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA

[7] Tech Univ Denmark, Ctr Biol Sequence Anal, DK-2800 Lyngby, Denmark

[8] Mt Sinai Sch Med, Dept Biomath Sci, New York, NY 10029 USA

[9] Vienna Univ Technol, Inst Stat & Wahrscheinlichkeitstheorie, A-1040 Vienna, Austria

[10] Univ Erlangen Nurnberg, Inst Med Informat Biometrie & Epidemiol, D-91054 Erlangen, Germany

[11] Deutsch Krebsforschungszentrum, Div Mol Genome Anal, D-69120 Heidelberg, Germany

[12] Univ Milan, Dept Econ, I-20123 Milan, Italy

[13] Johns Hopkins Univ, Dept Biostat, Baltimore, MD 21205 USA

[14] Univ Washington, Dept Med Educ & Biomed Informat, Seattle, WA 98195 USA

[15] Inst Angew Math, Stat Lab, D-69120 Heidelberg, Germany

[16] Scripps Res Inst, Dept Mol Biol, La Jolla, CA 92037 USA

[17] Royal Melbourne Hosp, Walter & Eliza Hall Inst Med Res, Div Genet & Bioinformat, Parkville, Vic 3050, Australia

[18] Univ Iowa, Dept Stat & Actuarial Sci, Iowa City, IA 52242 USA

[19] Univ Calif San Francisco, Ctr Bioinformat & Mol Biostat, San Francisco, CA 94143 USA

来源：

GENOME BIOLOGY | 2004年 / 5卷 / 10期

关键词：

Acute Lymphocytic Leukemia; Application Programming Interface; Software Project; Data Package; Portable Document Format;

D O I：

10.1186/gb-2004-5-10-r80

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

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