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Nat Methods. 2016 Mar;13(3):245-247. doi: 10.1038/nmeth.3732. Epub 2016 Jan 18.

Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace.

Author information

1
Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA.
2
The Broad Institute of MIT and Harvard, Cambridge, MA, USA.
3
Department of Medicine, University of California, San Diego, La Jolla, USA.
4
Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
5
Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
6
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
7
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
8
Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA.
9
UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
10
Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
11
Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
#
Contributed equally

Abstract

Complex biomedical analyses require the use of multiple software tools in concert and remain challenging for much of the biomedical research community. We introduce GenomeSpace (http://www.genomespace.org), a cloud-based, cooperative community resource that currently supports the streamlined interaction of 20 bioinformatics tools and data resources. To facilitate integrative analysis by non-programmers, it offers a growing set of 'recipes', short workflows to guide investigators through high-utility analysis tasks.

PMID:
26780094
PMCID:
PMC4767623
DOI:
10.1038/nmeth.3732
[Indexed for MEDLINE]
Free PMC Article

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