Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki.
Описание
Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud. - PubMed - NCBI
%0 Journal Article
%1 Griffith:2015:PLoS-Comput-Biol:26248053
%A Griffith, M
%A Walker, J R
%A Spies, N C
%A Ainscough, B J
%A Griffith, O L
%D 2015
%J PLoS Comput Biol
%K best-practice fulltext review rna-seq shouldread software tutorial
%N 8
%R 10.1371/journal.pcbi.1004393
%T Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud
%U https://www.ncbi.nlm.nih.gov/pubmed/26248053
%V 11
%X Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki.
@article{Griffith:2015:PLoS-Comput-Biol:26248053,
abstract = {Massively parallel RNA sequencing (RNA-seq) has rapidly become the assay of choice for interrogating RNA transcript abundance and diversity. This article provides a detailed introduction to fundamental RNA-seq molecular biology and informatics concepts. We make available open-access RNA-seq tutorials that cover cloud computing, tool installation, relevant file formats, reference genomes, transcriptome annotations, quality-control strategies, expression, differential expression, and alternative splicing analysis methods. These tutorials and additional training resources are accompanied by complete analysis pipelines and test datasets made available without encumbrance at www.rnaseq.wiki. },
added-at = {2019-03-07T08:48:53.000+0100},
author = {Griffith, M and Walker, J R and Spies, N C and Ainscough, B J and Griffith, O L},
biburl = {https://www.bibsonomy.org/bibtex/2e25fc446d4d939e0741562231fabc2ad/marcsaric},
description = {Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud. - PubMed - NCBI},
doi = {10.1371/journal.pcbi.1004393},
interhash = {f716d4c9c0585d073370dfc6a7ac29ad},
intrahash = {e25fc446d4d939e0741562231fabc2ad},
journal = {PLoS Comput Biol},
keywords = {best-practice fulltext review rna-seq shouldread software tutorial},
month = aug,
number = 8,
pmid = {26248053},
timestamp = {2019-03-07T08:48:53.000+0100},
title = {Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud},
url = {https://www.ncbi.nlm.nih.gov/pubmed/26248053},
volume = 11,
year = 2015
}