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WikiGenomes: an open web application for community consumption and curation of gene annotation data in Wikidata.


ABSTRACT: With the advancement of genome-sequencing technologies, new genomes are being sequenced daily. Although these sequences are deposited in publicly available data warehouses, their functional and genomic annotations (beyond genes which are predicted automatically) mostly reside in the text of primary publications. Professional curators are hard at work extracting those annotations from the literature for the most studied organisms and depositing them in structured databases. However, the resources don't exist to fund the comprehensive curation of the thousands of newly sequenced organisms in this manner. Here, we describe WikiGenomes (wikigenomes.org), a web application that facilitates the consumption and curation of genomic data by the entire scientific community. WikiGenomes is based on Wikidata, an openly editable knowledge graph with the goal of aggregating published knowledge into a free and open database. WikiGenomes empowers the individual genomic researcher to contribute their expertise to the curation effort and integrates the knowledge into Wikidata, enabling it to be accessed by anyone without restriction.

Database url

www.wikigenomes.org.

SUBMITTER: Putman TE 

PROVIDER: S-EPMC5467579 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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WikiGenomes: an open web application for community consumption and curation of gene annotation data in Wikidata.

Putman Tim E TE   Lelong Sebastien S   Burgstaller-Muehlbacher Sebastian S   Waagmeester Andra A   Diesh Colin C   Dunn Nathan N   Munoz-Torres Monica M   Stupp Gregory S GS   Wu Chunlei C   Su Andrew I AI   Good Benjamin M BM  

Database : the journal of biological databases and curation 20170101 1


With the advancement of genome-sequencing technologies, new genomes are being sequenced daily. Although these sequences are deposited in publicly available data warehouses, their functional and genomic annotations (beyond genes which are predicted automatically) mostly reside in the text of primary publications. Professional curators are hard at work extracting those annotations from the literature for the most studied organisms and depositing them in structured databases. However, the resources  ...[more]

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