Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace

Integrative analysis of multiple data types to address complex biomedical questions requires the use of multiple software tools in concert and remains an enormous challenge for most of the biomedical research community. Here we introduce GenomeSpace (http://www.genomespace.org), a cloud-based, coope...

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Detalles Bibliográficos
Autores principales: Qu, Kun, Garamszegi, Sara, Wu, Felix, Thorvaldsdottir, Helga, Liefeld, Ted, Ocana, Marco, Borges-Rivera, Diego, Pochet, Nathalie, Robinson, James T., Demchak, Barry, Hull, Tim, Ben-Artzi, Gil, Blankenberg, Daniel, Barber, Galt P., Lee, Brian T., Kuhn, Robert M., Nekrutenko, Anton, Segal, Eran, Ideker, Trey, Reich, Michael, Regev, Aviv, Chang, Howard Y., Mesirov, Jill P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767623/
https://www.ncbi.nlm.nih.gov/pubmed/26780094
http://dx.doi.org/10.1038/nmeth.3732
Descripción
Sumario:Integrative analysis of multiple data types to address complex biomedical questions requires the use of multiple software tools in concert and remains an enormous challenge for most of the biomedical research community. Here we introduce GenomeSpace (http://www.genomespace.org), a cloud-based, cooperative community resource. Seeded as a collaboration of six of the most popular genomics analysis tools, GenomeSpace now supports the streamlined interaction of 20 bioinformatics tools and data resources. To facilitate the ability of non-programming users’ to leverage GenomeSpace in integrative analysis, it offers a growing set of ‘recipes’, short workflows involving a few tools and steps to guide investigators through high utility analysis tasks.

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