High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID)

BACKGROUND: We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. The original version of GoMiner was oriented...

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Detalles Bibliográficos
Autores principales: Zeeberg, Barry R, Qin, Haiying, Narasimhan, Sudarshan, Sunshine, Margot, Cao, Hong, Kane, David W, Reimers, Mark, Stephens, Robert M, Bryant, David, Burt, Stanley K, Elnekave, Eldad, Hari, Danielle M, Wynn, Thomas A, Cunningham-Rundles, Charlotte, Stewart, Donn M, Nelson, David, Weinstein, John N
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1190154/
https://www.ncbi.nlm.nih.gov/pubmed/15998470
http://dx.doi.org/10.1186/1471-2105-6-168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1190154/
https://www.ncbi.nlm.nih.gov/pubmed/15998470
http://dx.doi.org/10.1186/1471-2105-6-168

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