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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2018
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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. |
format | Online Article Text |
id | pubmed-6440655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
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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