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Resource:GoSurfer

Name: Resource:GoSurfer
Description: GoSurfer uses Gene Ontology (GO) information to analyze gene sets obtained from genome-wide computations or microarray analyses. GoSurfer is a graphical interactive data mining tool. It associates user input genes with GO terms and visualizes such GO terms as a hierarchical tree. Users can manipulate the tree output by various means, like setting heuristic thresholds or using statistical tests. Significantly important GO terms resulted from a statistical test can be highlighted. All related information are exportable either as texts or as graphics.


Platform: Windows compatible
Parent Organization: University of Illinois at Urbana-Champaign; Illinois; USA, Harvard School of Public Health; Massachusetts; USA
Related to: Resource:Gene Ontology Tools, Resource:GO
Resource Type(s): Software application
Keywords: Gene, Gene Ontology, genome-wide, microarray, graph, data mining, statistical analysis, Bioinformatics, Genomics, Gene cluster, Multiple hypothesis testing, False discovery rate
Abbreviation: GoSurfer
Resource: Resource
URL: http://bioinformatics.bioen.illinois.edu/gosurfer/index.htm
PMID: PMID 15702958
Publication link: http://www.aiimjournal.com/article/PIIS0933365707001005/abstract
Availability: Free for academic use
Id: nlx_149268
Link to OWL / RDF: Download this content as OWL/RDF

Curation status: Curated

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Notes

This page uses this default form:Resource

Old URL: http://biosun1.harvard.edu/complab/gosurfer/

Alt. URL: http://www.gosurfer.org

Contributors

Aarnaud



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Facts about Resource:GoSurferRDF feed
AbbrevGoSurfer  +
AvailabilityFree for academic use  +
CurationStatuscurated  +
DefiningCitationhttp://bioinformatics.bioen.illinois.edu/gosurfer/index.htm  +
DefinitionGoSurfer uses Gene Ontology (GO) informati GoSurfer uses Gene Ontology (GO) information to analyze gene sets obtained from genome-wide computations or microarray analyses. GoSurfer is a graphical interactive data mining tool. It associates user input genes with GO terms and visualizes such GO terms as a hierarchical tree. Users can manipulate the tree output by various means, like setting heuristic thresholds or using statistical tests. Significantly important GO terms resulted from a statistical test can be highlighted. All related information are exportable either as texts or as graphics.


Platform: Windows compatible phics.

Platform: Windows compatible
ExampleImageGoSurfer.PNG  +
Has default formThis property is a special property in this wiki.Resource  +
Has roleSoftware application  +
Idnlx_149268  +
Is part ofUniversity of Illinois at Urbana-Champaign; Illinois; USA  +, and Harvard School of Public Health; Massachusetts; USA  +
KeywordsGene  +, Gene Ontology  +, Genome-wide  +, Microarray  +, Graph  +, Data mining  +, Statistical analysis  +, Bioinformatics  +, Genomics  +, Gene cluster  +, Multiple hypothesis testing  +, and False discovery rate  +
LabelResource:GoSurfer  +
ModifiedDate13 July 2012  +
PMID15702958  +
Page has default formThis property is a special property in this wiki.Resource  +
PublicationLinkhttp://www.aiimjournal.com/article/PIIS0933365707001005/abstract  +
RelatedToResource:Gene Ontology Tools  +, and Resource:GO  +
SuperCategoryResource  +