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A survey of best practices for RNA-seq data analysis

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A survey of best practices for RNA-seq data analysis

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Conesa, A.; Madrigal, P.; Tarazona Campos, S.; Gómez Cabrero, D.; Cervera, A.; Mcpherson, A.; Wojciech Szczesniak, M.... (2016). A survey of best practices for RNA-seq data analysis. Genome Biology. 17(13). https://doi.org/10.1186/s13059-016-0881-8

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Título: A survey of best practices for RNA-seq data analysis
Autor: Conesa, Ana Madrigal, Pedro Tarazona Campos, Sonia Gómez Cabrero, David Cervera, Alejandra McPherson, Andrew Wojciech Szczesniak, Michal Gaffney, Daniel J. Elo, Laura L. Zhang, Xuegong Mortazavi, Ali
Entidad UPV: Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses
Fecha difusión:
Resumen:
[EN] RNA-sequencing (RNA-seq) has a wide variety of applications, but no single analysis pipeline can be used in all cases. We review all of the major steps in RNA-seq data analysis, including experimental design, quality ...[+]
Palabras clave: RNA-seq analysis
Derechos de uso: Reconocimiento (by)
Fuente:
Genome Biology. (issn: 1474-760X )
DOI: 10.1186/s13059-016-0881-8
Editorial:
BioMed Central
Versión del editor: http://dx.doi.org/10.1186/s13059-016-0881-8
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//BIO2012-40244/ES/DESARROLLO DE RECURSOS COMPUTACIONALES PARA LA CARACTERIZACION Y ANOTACION FUNCIONAL DE ARN NO CODIFICANTE./
info:eu-repo/grantAgreement/EC/FP7 STATegra/36000/EU/
info:eu-repo/grantAgreement/NKRDPC//2012CB316504/
info:eu-repo/grantAgreement/JDRF//2-2013-32/
Descripción: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
The Erratum to this article has been published in Genome Biology 2016 17:181
Agradecimientos:
The authors would like to thank Michael Love and Harold Pimentel for helpful suggestions on the initial draft of the manuscript. AC, ST, AM, DGC were supported by the FP7 STATegra project (grant 36000). Research in ...[+]
Tipo: Artículo

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