Bioconductor
Bioconductor is a free, open source and open development
software project which provides tools for the analysis and
comprehension of high-throughput genomic data.
Bioconductor uses the statistical R programming language, but
does contain contributions in other programming languages.
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.
Bioconductor 2.12
|
|
Price
Free to download
Size
-MB
License
Artistic License 2.0
Developer
Vince Carey, Marc Carlson, Sean Davis, Robert
Gentleman, Nishant Gopalakrishnan, Wolfgang Huber and many others
Website
www.bioconductor.org
System Requirements
Uses biocLite.R script to install
Support
Sites:
Manual,
FAQ,
Introduction
to R and Bioconductor (PDF),
Mailing
Lists
Selected
Reviews:
|
Features include:
- Provides access to powerful statistical and graphical
methods for the analysis of genomic data. Analysis packages address
workflows for analysis of:
- Oligonucleotide arrays
- Sequence analysis
- Flow cytometry
- Other high-throughput genomic data
- Each Bioconductor package contains one or more vignettes,
documents that provide a textual, task-oriented description of the
package's functionality
- Provides software for associating microarray and other
genomic data in real time with biological metadata from web databases
such as GenBank, Entrez genes and PubMed
- Analysis of differentially expressed genes
- LIMMA
- RankProd
- SAM
- R/maanova
- Digital Gene Expression
- Dual Color Array packages
- Gene Ontologies:
- General
- GOHyperGAII
- GSEA
GoTools and goCluster
- KEGG pathway analysis
- Motif identification in promoter regions
- Protein structure analysis
- MS data analysis
- Genome-Wide Association Studies (GWAS)
- Uses R to add a raft of functionality
Return
to Bioinformatics Tools Home Page
Last Updated Saturday, April 13 2013 @ 04:17 PM EDT
| 
