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Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of auto...

Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of auto...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0bdb4f2b2f9847f9a1d9e1404c17d94d

Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunity [version 1; peer review: 2 approved]

About this item

Full title

Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunity [version 1; peer review: 2 approved]

Publisher

England: Faculty of 1000 Ltd

Journal title

F1000 research, 2016, Vol.5, p.2884-2884

Language

English

Formats

Publication information

Publisher

England: Faculty of 1000 Ltd

More information

Scope and Contents

Contents

Background: The proliferation of publicly accessible large-scale biological data together with increasing availability of bioinformatics tools have the potential to transform biomedical research. Here we report a crowdsourcing Jamboree that explored whether a team of volunteer biologists without formal bioinformatics training could use OMiCC, a cro...

Alternative Titles

Full title

Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunity [version 1; peer review: 2 approved]

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0bdb4f2b2f9847f9a1d9e1404c17d94d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0bdb4f2b2f9847f9a1d9e1404c17d94d

Other Identifiers

ISSN

2046-1402

E-ISSN

2046-1402

DOI

10.12688/f1000research.10465.1

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