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Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

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Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

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Tarazona Campos, S.; Furió Tarí, P.; Turrà, D.; Di Pietro, A.; Nueda, MJ.; Ferrer, A.; Conesa, A. (2015). Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package. Nucleic Acids Research. 43(21):1-13. doi:10.1093/nar/gkv711

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/78008

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Title: Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package
Author:
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses
Issued date:
Abstract:
[EN] As the use of RNA-seq has popularized, there is an increasing consciousness of the importance of experimental design, bias removal, accurate quantification and control of false positives for proper data analysis. We ...[+]
Subjects: Differential expression , Bioinformatics , Noiseq , Bioconductor , Rna-seq
Copyrigths: Reconocimiento - No comercial (by-nc)
Source:
Nucleic Acids Research. (issn: 0305-1048 ) (eissn: 1362-4962 )
DOI: 10.1093/nar/gkv711
Publisher:
Oxford University Press (OUP)
Publisher version: https://doi.org/10.1093/nar/gkv711
Project ID: info:eu-repo/grantAgreement/EC/FP7/2007-2013, 306000
Description: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Thanks:
European Union Seventh Framework Programme [FP7/2007-2013, 306000]; Spanish Ministry of Science and Innovation [MICINN, BIO2008-04638-E], in the framework of ERA-Net Pathogenomics; MICINN [DPI2008-06880-C03-03/DPI]. Funding ...[+]
Type: Artículo

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