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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software
RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and qua...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4742321/ https://www.ncbi.nlm.nih.gov/pubmed/26865842 http://dx.doi.org/10.5808/GI.2015.13.4.119 |
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author | Yang, In Seok Kim, Sangwoo |
author_facet | Yang, In Seok Kim, Sangwoo |
author_sort | Yang, In Seok |
collection | PubMed |
description | RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification. |
format | Online Article Text |
id | pubmed-4742321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-47423212016-02-10 Analysis of Whole Transcriptome Sequencing Data: Workflow and Software Yang, In Seok Kim, Sangwoo Genomics Inform Review Article RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification. Korea Genome Organization 2015-12 2015-12-31 /pmc/articles/PMC4742321/ /pubmed/26865842 http://dx.doi.org/10.5808/GI.2015.13.4.119 Text en Copyright © 2015 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/4.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/). |
spellingShingle | Review Article Yang, In Seok Kim, Sangwoo Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
title | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
title_full | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
title_fullStr | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
title_full_unstemmed | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
title_short | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
title_sort | analysis of whole transcriptome sequencing data: workflow and software |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4742321/ https://www.ncbi.nlm.nih.gov/pubmed/26865842 http://dx.doi.org/10.5808/GI.2015.13.4.119 |
work_keys_str_mv | AT yanginseok analysisofwholetranscriptomesequencingdataworkflowandsoftware AT kimsangwoo analysisofwholetranscriptomesequencingdataworkflowandsoftware |