lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA

Fayaz Seifuddin, Komudi Singh, Abhilash Suresh, Jennifer T. Judy, Yun Ching Chen, Vijender Chaitankar, Ilker Tunc, Xiangbo Ruan, Ping Li, Yi Chen, Haiming Cao, Richard S. Lee, Fernando S. Goes, Peter P. Zandi, M. Saleet Jafri, Mehdi Pirooznia

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Long non-coding RNA Knowledgebase (lncRNAKB) is an integrated resource for exploring lncRNA biology in the context of tissue-specificity and disease association. A systematic integration of annotations from six independent databases resulted in 77,199 human lncRNA (224,286 transcripts). The user-friendly knowledgebase covers a comprehensive breadth and depth of lncRNA annotation. lncRNAKB is a compendium of expression patterns, derived from analysis of RNA-seq data in thousands of samples across 31 solid human normal tissues (GTEx). Thousands of co-expression modules identified via network analysis and pathway enrichment to delineate lncRNA function are also accessible. Millions of expression quantitative trait loci (cis-eQTL) computed using whole genome sequence genotype data (GTEx) can be downloaded at lncRNAKB that also includes tissue-specificity, phylogenetic conservation and coding potential scores. Tissue-specific lncRNA-trait associations encompassing 323 GWAS (UK Biobank) are also provided. LncRNAKB is accessible at http://www.lncrnakb.org/, and the data are freely available through Open Science Framework (https://doi.org/10.17605/OSF.IO/RU4D2).

Original languageEnglish (US)
Article number326
JournalScientific Data
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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