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LnCompare: gene set feature analysis for human long non-coding RNAs
Interest in the biological roles of long noncoding RNAs (lncRNAs) has resulted in growing numbers of studies that produce large sets of candidate genes, for example, differentially expressed between two conditions. For sets of protein-coding genes, ontology and pathway analyses are powerful tools fo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602513/ https://www.ncbi.nlm.nih.gov/pubmed/31147707 http://dx.doi.org/10.1093/nar/gkz410 |
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author | Carlevaro-Fita, Joana Liu, Leibo Zhou, Yuan Zhang, Shan Chouvardas, Panagiotis Johnson, Rory Li, Jianwei |
author_facet | Carlevaro-Fita, Joana Liu, Leibo Zhou, Yuan Zhang, Shan Chouvardas, Panagiotis Johnson, Rory Li, Jianwei |
author_sort | Carlevaro-Fita, Joana |
collection | PubMed |
description | Interest in the biological roles of long noncoding RNAs (lncRNAs) has resulted in growing numbers of studies that produce large sets of candidate genes, for example, differentially expressed between two conditions. For sets of protein-coding genes, ontology and pathway analyses are powerful tools for generating new insights from statistical enrichment of gene features. Here we present the LnCompare web server, an equivalent resource for studying the properties of lncRNA gene sets. The Gene Set Feature Comparison mode tests for enrichment amongst a panel of quantitative and categorical features, spanning gene structure, evolutionary conservation, expression, subcellular localization, repetitive sequences and disease association. Moreover, in Similar Gene Identification mode, users may identify other lncRNAs by similarity across a defined range of features. Comprehensive results may be downloaded in tabular and graphical formats, in addition to the entire feature resource. LnCompare will empower researchers to extract useful hypotheses and candidates from lncRNA gene sets. |
format | Online Article Text |
id | pubmed-6602513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66025132019-07-05 LnCompare: gene set feature analysis for human long non-coding RNAs Carlevaro-Fita, Joana Liu, Leibo Zhou, Yuan Zhang, Shan Chouvardas, Panagiotis Johnson, Rory Li, Jianwei Nucleic Acids Res Web Server Issue Interest in the biological roles of long noncoding RNAs (lncRNAs) has resulted in growing numbers of studies that produce large sets of candidate genes, for example, differentially expressed between two conditions. For sets of protein-coding genes, ontology and pathway analyses are powerful tools for generating new insights from statistical enrichment of gene features. Here we present the LnCompare web server, an equivalent resource for studying the properties of lncRNA gene sets. The Gene Set Feature Comparison mode tests for enrichment amongst a panel of quantitative and categorical features, spanning gene structure, evolutionary conservation, expression, subcellular localization, repetitive sequences and disease association. Moreover, in Similar Gene Identification mode, users may identify other lncRNAs by similarity across a defined range of features. Comprehensive results may be downloaded in tabular and graphical formats, in addition to the entire feature resource. LnCompare will empower researchers to extract useful hypotheses and candidates from lncRNA gene sets. Oxford University Press 2019-07-02 2019-05-31 /pmc/articles/PMC6602513/ /pubmed/31147707 http://dx.doi.org/10.1093/nar/gkz410 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial 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 |
spellingShingle | Web Server Issue Carlevaro-Fita, Joana Liu, Leibo Zhou, Yuan Zhang, Shan Chouvardas, Panagiotis Johnson, Rory Li, Jianwei LnCompare: gene set feature analysis for human long non-coding RNAs |
title | LnCompare: gene set feature analysis for human long non-coding RNAs |
title_full | LnCompare: gene set feature analysis for human long non-coding RNAs |
title_fullStr | LnCompare: gene set feature analysis for human long non-coding RNAs |
title_full_unstemmed | LnCompare: gene set feature analysis for human long non-coding RNAs |
title_short | LnCompare: gene set feature analysis for human long non-coding RNAs |
title_sort | lncompare: gene set feature analysis for human long non-coding rnas |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602513/ https://www.ncbi.nlm.nih.gov/pubmed/31147707 http://dx.doi.org/10.1093/nar/gkz410 |
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