Show simple item record

dc.contributor.authorMa, L.
dc.contributor.authorLi, A.
dc.contributor.authorZou, D.
dc.contributor.authorXu, X.
dc.contributor.authorXia, L.
dc.contributor.authorYu, J.
dc.contributor.authorBajic, Vladimir B.
dc.contributor.authorZhang, Z.
dc.date.accessioned2014-12-10T06:03:01Z
dc.date.available2014-12-10T06:03:01Z
dc.date.issued2014-11-15
dc.identifier.citationLncRNAWiki: harnessing community knowledge in collaborative curation of human long non-coding RNAs 2014 Nucleic Acids Research
dc.identifier.issn0305-1048
dc.identifier.issn1362-4962
dc.identifier.pmid25399417
dc.identifier.doi10.1093/nar/gku1167
dc.identifier.urihttp://hdl.handle.net/10754/336998
dc.description.abstractLong non-coding RNAs (lncRNAs) perform a diversity of functions in numerous important biological processes and are implicated in many human diseases. In this report we present lncRNAWiki (http://lncrna.big.ac.cn), a wiki-based platform that is open-content and publicly editable and aimed at community-based curation and collection of information on human lncRNAs. Current related databases are dependent primarily on curation by experts, making it laborious to annotate the exponentially accumulated information on lncRNAs, which inevitably requires collective efforts in community-based curation of lncRNAs. Unlike existing databases, lncRNAWiki features comprehensive integration of information on human lncRNAs obtained from multiple different resources and allows not only existing lncRNAs to be edited, updated and curated by different users but also the addition of newly identified lncRNAs by any user. It harnesses community collective knowledge in collecting, editing and annotating human lncRNAs and rewards community-curated efforts by providing explicit authorship based on quantified contributions. LncRNAWiki relies on the underling knowledge of scientific community for collective and collaborative curation of human lncRNAs and thus has the potential to serve as an up-to-date and comprehensive knowledgebase for human lncRNAs.
dc.description.sponsorshipStrategic Priority Research Program of the Chinese Academy of Sciences [XDB13040500 to Z.Z.]; National Natural Science Foundation of China [31200978 to L.M.]; Base Research Fund of King Abdullah University of Science and Technology [to V.B.B.]; ‘100-Talent Program’ of Chinese Academy of Sciences [Y1SLXb1365 to Z.Z.]. Funding for open access charge: Strategic Priority Research Program of the Chinese Academy of Sciences [XDB13040000].
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.relation.urlhttp://nar.oxfordjournals.org/lookup/doi/10.1093/nar/gku1167
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
dc.titleLncRNAWiki: harnessing community knowledge in collaborative curation of human long non-coding RNAs
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.identifier.journalNucleic Acids Research
dc.identifier.pmcidPMC4383965
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
dc.contributor.institutionUniversity of Chinese Academy of Sciences, Beijing 100049, China
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personBajic, Vladimir B.
refterms.dateFOA2018-06-14T04:41:30Z
dc.date.published-online2014-11-15
dc.date.published-print2015-01-28


Files in this item

Thumbnail
Name:
Nucl. Acids Res.-2014-Ma-nar-gku1167.pdf
Size:
1.791Mb
Format:
PDF
Description:
Article - Full Text
Thumbnail
Name:
nar-03035-data-e-2014-File005.xls
Size:
31.5Kb
Format:
Microsoft Excel
Description:
Supplemental Data

This item appears in the following Collection(s)

Show simple item record