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lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA.
Seifuddin, Fayaz; Singh, Komudi; Suresh, Abhilash; Judy, Jennifer T; Chen, Yun-Ching; Chaitankar, Vijender; Tunc, Ilker; Ruan, Xiangbo; Li, Ping; Chen, Yi; Cao, Haiming; Lee, Richard S; Goes, Fernando S; Zandi, Peter P; Jafri, M Saleet; Pirooznia, Mehdi.
Affiliation
  • Seifuddin F; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Singh K; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Suresh A; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Judy JT; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Chen YC; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Chaitankar V; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Tunc I; Bioinformatics and Computational Biology Core, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Ruan X; Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Li P; Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Chen Y; Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Cao H; Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
  • Lee RS; Department of Psychiatry & Behavioral Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Goes FS; Department of Psychiatry & Behavioral Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Zandi PP; Department of Psychiatry & Behavioral Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Jafri MS; School of Systems Biology, George Mason University, Manassas, VA, 20110, USA.
  • Pirooznia M; Krasnow Institute for Advanced Study, Interdisciplinary Program in Neuroscience, George Mason University, Fairfax, VA, 22030, USA.
Sci Data ; 7(1): 326, 2020 10 05.
Article de En | MEDLINE | ID: mdl-33020484
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 ).
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Spécificité d'organe / Bases de connaissances / ARN long non codant Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Sci Data Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Spécificité d'organe / Bases de connaissances / ARN long non codant Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Sci Data Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique