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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...

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Autores principales: Hou, Mei, Tian, Feng, Jiang, Shuai, Kong, Lei, Yang, Dechang, Gao, Ge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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.
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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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