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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...

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Detalles Bibliográficos
Autores principales: Yang, In Seok, Kim, Sangwoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2015
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.
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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
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