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DEB: A web interface for RNA-seq digital gene expression analysis
Digital expression (DE) is an important application of RNA-seq technology to quantify the transcriptome. The number of mapped reads to each transcript or gene varies under different conditions and replicates. Currently, three different statistical algorithms (edgeR, DESeq and bayseq) are available a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163933/ https://www.ncbi.nlm.nih.gov/pubmed/21904439 |
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author | Yao, Ji Qiang Yu, Fahong |
author_facet | Yao, Ji Qiang Yu, Fahong |
author_sort | Yao, Ji Qiang |
collection | PubMed |
description | Digital expression (DE) is an important application of RNA-seq technology to quantify the transcriptome. The number of mapped reads to each transcript or gene varies under different conditions and replicates. Currently, three different statistical algorithms (edgeR, DESeq and bayseq) are available as R packages, to compare the reads to identify significantly expressed transcripts or genes. So far, users have to manually install and run each R package separately. It is also of users' interest to compare the results of different approaches. Here, we present a pipeline DEB which automates all the steps in file preparation, computation and result comparison. AVAILABILITY: The database is available for free at http://www.ijbcb.org/DEB/php/onlinetool.php |
format | Online Article Text |
id | pubmed-3163933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-31639332011-09-08 DEB: A web interface for RNA-seq digital gene expression analysis Yao, Ji Qiang Yu, Fahong Bioinformation Web Server Digital expression (DE) is an important application of RNA-seq technology to quantify the transcriptome. The number of mapped reads to each transcript or gene varies under different conditions and replicates. Currently, three different statistical algorithms (edgeR, DESeq and bayseq) are available as R packages, to compare the reads to identify significantly expressed transcripts or genes. So far, users have to manually install and run each R package separately. It is also of users' interest to compare the results of different approaches. Here, we present a pipeline DEB which automates all the steps in file preparation, computation and result comparison. AVAILABILITY: The database is available for free at http://www.ijbcb.org/DEB/php/onlinetool.php Biomedical Informatics 2011-08-20 /pmc/articles/PMC3163933/ /pubmed/21904439 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Web Server Yao, Ji Qiang Yu, Fahong DEB: A web interface for RNA-seq digital gene expression analysis |
title | DEB: A web interface for RNA-seq digital gene expression analysis |
title_full | DEB: A web interface for RNA-seq digital gene expression analysis |
title_fullStr | DEB: A web interface for RNA-seq digital gene expression analysis |
title_full_unstemmed | DEB: A web interface for RNA-seq digital gene expression analysis |
title_short | DEB: A web interface for RNA-seq digital gene expression analysis |
title_sort | deb: a web interface for rna-seq digital gene expression analysis |
topic | Web Server |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163933/ https://www.ncbi.nlm.nih.gov/pubmed/21904439 |
work_keys_str_mv | AT yaojiqiang debawebinterfaceforrnaseqdigitalgeneexpressionanalysis AT yufahong debawebinterfaceforrnaseqdigitalgeneexpressionanalysis |