Home LiteratureArticle Details
PMID: 16939789 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Review

Bioconductor: an open source framework for bioinformatics and computational biology.

Methods in enzymology ·Vol. 411 ·2006-00-00 ·Pages 119-34

Reimers M, Carey VJ

Abstract

This chapter describes the Bioconductor project and details of its open source facilities for analysis of microarray and other high-throughput biological experiments. Particular attention is paid to concepts of container and workflow design, connections of biological metadata to statistical analysis products, support for statistical quality assessment, and calibration of inference uncertainty measures when tens of thousands of simultaneous statistical tests are performed.

MeSH Terms
Animals Computational Biology/methods,statistics & numerical data Humans Oligonucleotide Array Sequence Analysis/methods,statistics & numerical data Software
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Reimers Mark
National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Carey Vincent J
Article Info
Journal
Methods in enzymology
Abbr.
Methods Enzymol
ISSN
0076-6879
Published
2006-00-00
Pages
119-34
Language
English
Region
United States
NLM ID
0212271
Subset
IM
Grants
NHGRI NIH HHS · 1R33 HG002708 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com