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Gene regulation knowledge commons: community action takes care of DNA binding transcription factors.


ABSTRACT: A large gap remains between the amount of knowledge in scientific literature and the fraction that gets curated into standardized databases, despite many curation initiatives. Yet the availability of comprehensive knowledge in databases is crucial for exploiting existing background knowledge, both for designing follow-up experiments and for interpreting new experimental data. Structured resources also underpin the computational integration and modeling of regulatory pathways, which further aids our understanding of regulatory dynamics. We argue how cooperation between the scientific community and professional curators can increase the capacity of capturing precise knowledge from literature. We demonstrate this with a project in which we mobilize biological domain experts who curate large amounts of DNA binding transcription factors, and show that they, although new to the field of curation, can make valuable contributions by harvesting reported knowledge from scientific papers. Such community curation can enhance the scientific epistemic process.Database URL: http://www.tfcheckpoint.org.

SUBMITTER: Tripathi S 

PROVIDER: S-EPMC4911790 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Gene regulation knowledge commons: community action takes care of DNA binding transcription factors.

Tripathi Sushil S   Vercruysse Steven S   Chawla Konika K   Christie Karen R KR   Blake Judith A JA   Huntley Rachael P RP   Orchard Sandra S   Hermjakob Henning H   Thommesen Liv L   Lægreid Astrid A   Kuiper Martin M  

Database : the journal of biological databases and curation 20160605


A large gap remains between the amount of knowledge in scientific literature and the fraction that gets curated into standardized databases, despite many curation initiatives. Yet the availability of comprehensive knowledge in databases is crucial for exploiting existing background knowledge, both for designing follow-up experiments and for interpreting new experimental data. Structured resources also underpin the computational integration and modeling of regulatory pathways, which further aids  ...[more]

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