arrow

From NeuroLex

Jump to: navigation, search



Resource:Bioconductor

Name: Resource:Bioconductor
Description: Open source, open development software project providing tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language. It has two releases each year, 610 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).

There is also a development version, to which new features and packages are added prior to incorporation in the release. A large number of meta-data packages provide pathway, organism, microarray and other annotations.

Bioconductor packages the GO ontology into our semi-annual release, with software tools to: query; join with diverse additional gene, microarray, and sequence annotations; incorporate GO into annotation, differential expression, and gene set enrichment work flows; and visualize.

The broad goals of the Bioconductor project are:

  • To provide widespread access to a broad range of powerful statistical and graphical methods for the analysis of genomic data.
  • To facilitate the inclusion of biological metadata in the analysis of genomic data, e.g. literature data from PubMed, annotation data from LocusLink.
  • To provide a common software platform that enables the rapid development and deployment of extensible, scalable, and interoperable software.
  • To further scientific understanding by producing high-quality documentation and reproducible research.
  • To train researchers on computational and statistical methods for the analysis of genomic data.
Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Other Name(s): Biobonductor - Open Source Software for Bioinformatics
Parent Organization: Resource:Fred Hutchinson Cancer Research Center
Supporting Agency: NIH, Resource:Catt Family Foundation, Resource:Dana-Farber Cancer Institute
Related to: Resource:Gene Ontology Tools, Resource:GO
Resource Type(s): Data analysis software
Keywords: analysis, biological, development, genomic, graphical, metadata, microarray, software, statistical, variant, annotation, High throughput assay, Sequence data, Sequence, Flow, Gene, term enrichment, text mining, Genetic, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, software library, statistical analysis, other analysis, Flexible integration of GO into statistical analysis and comprehension of high-throughput genetic data, browser, search engine, visualization, high-throughput, genetics
Grant: #1R33 HG002708
Abbreviation: Bioconductor
Resource: Resource
URL: http://www.bioconductor.org/
PMID: PMID 15461798
Publication link: http://genomebiology.com/content/pdf/gb-2004-5-10-r80.pdf
Availability: Open source - Free for academic use
Id: nif-0000-10445
Link to OWL / RDF: Download this content as OWL/RDF

Parts of Resource:Bioconductor

Curation status: Uncurated

This resource will be curated within 7 days.

For Resource Owners:
After the resource is curated, you may create a sitemap, which will help keep your registry description up-to-date and inform search engines about your resource.

Note: For a new resource, the website's URL must first be verified by a NIF curator before you may proceed.

Learn more about what NIF can do for your resource.
Proudly proclaim your inclusion in NIF by displaying the "Registered with NIF" button on your site. Please login to create the sitemap. (top right)

Notes

This page uses this default form:Resource

News

| Twitter Handle: @Bioconductor

Contributors

Aarnaud, Akash



bookmark
Facts about Resource:BioconductorRDF feed
AbbrevBioconductor  +
AvailabilityOpen source - Free for academic use.  +, and The community can contribute to this resource.  +
CommentGO data updates: every three months (or more frequently) / org-id: bioconductor
CurationStatuscurated  +
DefiningCitationhttp://www.bioconductor.org/  +
DefinitionOpen source, open development software pro Open source, open development software project providing tools for the analysis and comprehension of high-throughput genomic data. It is based primarily on the R programming language. It has two releases each year, 610 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).

There is also a development version, to which new features and packages are added prior to incorporation in the release. A large number of meta-data packages provide pathway, organism, microarray and other annotations.

Bioconductor packages the GO ontology into our semi-annual release, with software tools to: query; join with diverse additional gene, microarray, and sequence annotations; incorporate GO into annotation, differential expression, and gene set enrichment work flows; and visualize.

The broad goals of the Bioconductor project are:

  • To provide widespread access to a broad range of powerful statistical and graphical methods for the analysis of genomic data.
  • To facilitate the inclusion of biological metadata in the analysis of genomic data, e.g. literature data from PubMed, annotation data from LocusLink.
  • To provide a common software platform that enables the rapid development and deployment of extensible, scalable, and interoperable software.
  • To further scientific understanding by producing high-quality documentation and reproducible research.
  • To train researchers on computational and statistical methods for the analysis of genomic data.
Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
patible, Linux compatible, Unix compatible
ExampleImageBioconductor.PNG  +
GrantCategory:#1R33 HG002708   +
Has default formThis property is a special property in this wiki.Resource  +
Has roleData analysis software  +
Idnif-0000-10445  +
Is part ofResource:Fred Hutchinson Cancer Research Center  +
KeywordsAnalysis  +, Biological  +, Development  +, Genomic  +, Graphical  +, Metadata  +, Microarray  +, Software resource  +, Statistical  +, Variant  +, Annotation  +, High throughput assay  +, Sequence data  +, Sequence  +, Flow  +, Gene  +, Term enrichment  +, Text mining  +, Genetic  +, Ontology or annotation browser  +, Ontology or annotation search engine  +, Ontology or annotation visualization  +, Database or data warehouse  +, Software library  +, Statistical analysis  +, Other analysis  +, Flexible integration of GO into statistical analysis and comprehension of high-throughput genetic data  +, Browser  +, Search engine  +, Visualization  +, High-throughput  +, and Genetics  +
LabelResource:Bioconductor  +
ModifiedDate12 April 2013  +
PMID15461798  +
Page has default formThis property is a special property in this wiki.Resource  +
PublicationLinkhttp://genomebiology.com/content/pdf/gb-2004-5-10-r80.pdf  +
RelatedToResource:Gene Ontology Tools  +, and Resource:GO  +
SuperCategoryResource  +
Supporting AgencyNational Institutes of Health  +, Resource:Catt Family Foundation  +, and Resource:Dana-Farber Cancer Institute  +
SynonymBiobonductor - Open Source Software for Bioinformatics  +
TwitterBioconductor  +