Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 554 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).
Keywords for this software
References in zbMATH (referenced in 282 articles , 2 standard articles )
Showing results 281 to 282 of 282.
- Huber, Wolfgang; von Heydebreck, Anja; Sueltmann, Holger; Poustka, Annemarie; Vingron, Martin: Parameter estimation for the calibration and variance stabilization of microarray data (2003)
- Parmigiani, Giovanni (ed.); Garrett, Elizabeth S. (ed.); Irizarry, Rafael A. (ed.); Zeger, Scott L. (ed.): The analysis of gene expression data. Methods and software (2003)