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LocExpress: a web server for efficiently estimating expression of novel transcripts
BACKGROUND: The temporal and spatial-specific expression pattern of a transcript in multiple tissues and cell types can indicate key clues about its function. While several gene atlas available online as pre-computed databases for known gene models, it’s still challenging to get expression profile f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260097/ https://www.ncbi.nlm.nih.gov/pubmed/28155723 http://dx.doi.org/10.1186/s12864-016-3329-3 |
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author | Hou, Mei Tian, Feng Jiang, Shuai Kong, Lei Yang, Dechang Gao, Ge |
author_facet | Hou, Mei Tian, Feng Jiang, Shuai Kong, Lei Yang, Dechang Gao, Ge |
author_sort | Hou, Mei |
collection | PubMed |
description | BACKGROUND: The temporal and spatial-specific expression pattern of a transcript in multiple tissues and cell types can indicate key clues about its function. While several gene atlas available online as pre-computed databases for known gene models, it’s still challenging to get expression profile for previously uncharacterized (i.e. novel) transcripts efficiently. RESULTS: Here we developed LocExpress, a web server for efficiently estimating expression of novel transcripts across multiple tissues and cell types in human (20 normal tissues/cells types and 14 cell lines) as well as in mouse (24 normal tissues/cell types and nine cell lines). As a wrapper to RNA-Seq quantification algorithm, LocExpress efficiently reduces the time cost by making abundance estimation calls increasingly within the minimum spanning bundle region of input transcripts. For a given novel gene model, such local context-oriented strategy allows LocExpress to estimate its FPKMs in hundreds of samples within minutes on a standard Linux box, making an online web server possible. CONCLUSIONS: To the best of our knowledge, LocExpress is the only web server to provide nearly real-time expression estimation for novel transcripts in common tissues and cell types. The server is publicly available at http://loc-express.cbi.pku.edu.cn. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3329-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5260097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52600972017-01-26 LocExpress: a web server for efficiently estimating expression of novel transcripts Hou, Mei Tian, Feng Jiang, Shuai Kong, Lei Yang, Dechang Gao, Ge BMC Genomics Research BACKGROUND: The temporal and spatial-specific expression pattern of a transcript in multiple tissues and cell types can indicate key clues about its function. While several gene atlas available online as pre-computed databases for known gene models, it’s still challenging to get expression profile for previously uncharacterized (i.e. novel) transcripts efficiently. RESULTS: Here we developed LocExpress, a web server for efficiently estimating expression of novel transcripts across multiple tissues and cell types in human (20 normal tissues/cells types and 14 cell lines) as well as in mouse (24 normal tissues/cell types and nine cell lines). As a wrapper to RNA-Seq quantification algorithm, LocExpress efficiently reduces the time cost by making abundance estimation calls increasingly within the minimum spanning bundle region of input transcripts. For a given novel gene model, such local context-oriented strategy allows LocExpress to estimate its FPKMs in hundreds of samples within minutes on a standard Linux box, making an online web server possible. CONCLUSIONS: To the best of our knowledge, LocExpress is the only web server to provide nearly real-time expression estimation for novel transcripts in common tissues and cell types. The server is publicly available at http://loc-express.cbi.pku.edu.cn. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3329-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-22 /pmc/articles/PMC5260097/ /pubmed/28155723 http://dx.doi.org/10.1186/s12864-016-3329-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hou, Mei Tian, Feng Jiang, Shuai Kong, Lei Yang, Dechang Gao, Ge LocExpress: a web server for efficiently estimating expression of novel transcripts |
title | LocExpress: a web server for efficiently estimating expression of novel transcripts |
title_full | LocExpress: a web server for efficiently estimating expression of novel transcripts |
title_fullStr | LocExpress: a web server for efficiently estimating expression of novel transcripts |
title_full_unstemmed | LocExpress: a web server for efficiently estimating expression of novel transcripts |
title_short | LocExpress: a web server for efficiently estimating expression of novel transcripts |
title_sort | locexpress: a web server for efficiently estimating expression of novel transcripts |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260097/ https://www.ncbi.nlm.nih.gov/pubmed/28155723 http://dx.doi.org/10.1186/s12864-016-3329-3 |
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