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COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq

Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome tool for different transcriptome studies. To ut...

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Detalles Bibliográficos
Autores principales: Kim, Sang Cheol, Yu, Donghyeon, Cho, Seong Beom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440655/
https://www.ncbi.nlm.nih.gov/pubmed/30602097
http://dx.doi.org/10.5808/GI.2018.16.4.e36
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author Kim, Sang Cheol
Yu, Donghyeon
Cho, Seong Beom
author_facet Kim, Sang Cheol
Yu, Donghyeon
Cho, Seong Beom
author_sort Kim, Sang Cheol
collection PubMed
description Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome tool for different transcriptome studies. To utilize the RNA-Seq data, various quantification and analysis methods have been developed to solve specific research goals, including identification of differentially expressed genes and detection of novel transcripts. Because of the accumulation of RNA-Seq data in the public databases, there is a demand for integrative analysis. However, the available RNA-Seq data are stored in different formats such as read count, transcripts per million, and fragments per kilobase million. This hinders the integrative analysis of the RNA-Seq data. To solve this problem, we have developed a web-based application using Shiny, COEX-seq (Convert a Variety of Measurements of Gene Expression in RNA-Seq) that easily converts data in a variety of measurement formats of gene expression used in most bioinformatic tools for RNA-Seq. It provides a workflow that includes loading data set, selecting measurement formats of gene expression, and identifying gene names. COEX-seq is freely available for academic purposes and can be run on Windows, Mac OS, and Linux operating systems. Source code, sample data sets, and supplementary documentation are available as well.
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spelling pubmed-64406552019-04-03 COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq Kim, Sang Cheol Yu, Donghyeon Cho, Seong Beom Genomics Inform Application Note Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome tool for different transcriptome studies. To utilize the RNA-Seq data, various quantification and analysis methods have been developed to solve specific research goals, including identification of differentially expressed genes and detection of novel transcripts. Because of the accumulation of RNA-Seq data in the public databases, there is a demand for integrative analysis. However, the available RNA-Seq data are stored in different formats such as read count, transcripts per million, and fragments per kilobase million. This hinders the integrative analysis of the RNA-Seq data. To solve this problem, we have developed a web-based application using Shiny, COEX-seq (Convert a Variety of Measurements of Gene Expression in RNA-Seq) that easily converts data in a variety of measurement formats of gene expression used in most bioinformatic tools for RNA-Seq. It provides a workflow that includes loading data set, selecting measurement formats of gene expression, and identifying gene names. COEX-seq is freely available for academic purposes and can be run on Windows, Mac OS, and Linux operating systems. Source code, sample data sets, and supplementary documentation are available as well. Korea Genome Organization 2018-12 2018-12-28 /pmc/articles/PMC6440655/ /pubmed/30602097 http://dx.doi.org/10.5808/GI.2018.16.4.e36 Text en Copyright © 2018 by Korea Genome Organization It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Application Note
Kim, Sang Cheol
Yu, Donghyeon
Cho, Seong Beom
COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
title COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
title_full COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
title_fullStr COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
title_full_unstemmed COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
title_short COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
title_sort coex-seq: convert a variety of measurements of gene expression in rna-seq
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440655/
https://www.ncbi.nlm.nih.gov/pubmed/30602097
http://dx.doi.org/10.5808/GI.2018.16.4.e36
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