LncBook: a curated knowledgebase of human long non-coding RNAs

Lina Ma, Jiabao Cao, Lin Liu, Qiang Du, Zhao Li, Dong Zou, Vladimir B. Bajic, Zhang Zhang

Research output: Contribution to journalArticlepeer-review

165 Scopus citations


Long non-coding RNAs (lncRNAs) have significant functions in a wide range of important biological processes. Although the number of known human lncRNAs has dramatically increased, they are poorly annotated, posing great challenges for better understanding their functional significance and elucidating their complex functioning molecular mechanisms. Here, we present LncBook (http://bigd.big.ac.cn/lncbook), a curated knowledgebase of human lncRNAs that features a comprehensive collection of human lncRNAs and systematic curation of lncRNAs by multi-omics data integration, functional annotation and disease association. In the present version, LncBook houses a large number of 270 044 lncRNAs and includes 1867 featured lncRNAs with 3762 lncRNA-function associations. It also integrates an abundance of multi-omics data from expression, methylation, genome variation and lncRNA-miRNA interaction. Also, LncBook incorporates 3772 experimentally validated lncRNA-disease associations and further identifies a total of 97 998 lncRNAs that are putatively disease-associated. Collectively, LncBook is dedicated to the integration and curation of human lncRNAs as well as their associated data and thus bears great promise to serve as a valuable knowledgebase for worldwide research communities.
Original languageEnglish (US)
Pages (from-to)D128-D134
Number of pages1
JournalNucleic Acids Research
Issue numberD1
StatePublished - Oct 17 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): BAS/1/1606-01-01
Acknowledgements: Strategic Priority Research Program of the Chinese Academy of Sciences [XDA19050302, XDB13040500]; National Key Research and Development Program of China [2017YFC0907502, 2015AA020108]; The 13th Five-year Informatization Plan of Chinese Academy of Sciences [XXH13505-05]; International Partnership Program of the Chinese Academy of Sciences [153F11KYSB20160008]; National Natural Science Foundation of China [31200978]; King Abdullah University of Science and Technology (KAUST) [BAS/1/1606-01-01]. Funding for open access charge: Strategic Priority Research Program of the Chinese Academy of Sciences [XDB13040500].


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