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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...

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Detalles Bibliográficos
Autores principales: Yao, Ji Qiang, Yu, Fahong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
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
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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
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