Bioconductor tools for microarray data analysis

Simon Cockell; Matthew Bashton; Colin S. Gillespie

doi:10.1201/9781315215785-22

Bioconductor tools for microarray data analysis

Simon Cockell, Matthew Bashton, Colin S. Gillespie

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

Bioconductor [1] is an open source software project for the R statistical computing language. The main aim of the project is to provide R packages to facilitate the analysis of DNA microarray, sequencing, SNP and other genomic data. In addition to various packages for analysis of data, they also distribute meta-data packages that provide useful annotation. The stable non-development version of Bioconductor is normally released biannually.¹ In addition to providing packages the Bioconductor site (bioconductor.org) also provides documentation for each package, often a brief vignette and a more comprehensive user guide.

Original language	English
Title of host publication	Microarray Image and Data Analysis
Subtitle of host publication	Theory and Practice
Editors	Luis Rueda
Place of Publication	Boca Raton, FL
Publisher	CRC Press
Chapter	17
Pages	459-479
Number of pages	21
ISBN (Electronic)	9781466586871
ISBN (Print)	9781466586826
DOIs	https://doi.org/10.1201/9781315215785-22
Publication status	Published - 1 Jan 2014
Externally published	Yes

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Bioconductor tools for microarray data analysis

Abstract

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