Erratum to: A survey of best practices for RNA-seq data analysis

被引：0

作者：

Ana Conesa

Pedro Madrigal

Sonia Tarazona

David Gomez-Cabrero

Alejandra Cervera

Andrew McPherson

Michal Wojciech Szcześniak

Daniel J. Gaffney

Laura L. Elo

Xuegong Zhang

Ali Mortazavi

机构：

[1] University of Florida,Institute for Food and Agricultural Sciences, Department of Microbiology and Cell Science

[2] Genomics of Gene Expression Laboratory,Centro de Investigación Príncipe Felipe

[3] Wellcome Trust Sanger Institute,Wellcome Trust

[4] Wellcome Trust Genome Campus,Medical Research Council Cambridge Stem Cell Institute, Anne McLaren Laboratory for Regenerative Medicine, Department of Surgery

[5] University of Cambridge,Department of Applied Statistics, Operations Research and Quality

[6] Universidad Politécnica de Valencia,Unit of Computational Medicine, Department of Medicine, Karolinska Institutet

[7] Karolinska University Hospital,Center for Molecular Medicine

[8] Karolinska Institutet,Unit of Clinical Epidemiology, Department of Medicine

[9] Karolinska University Hospital,Systems Biology Laboratory, Institute of Biomedicine and Genome

[10] Science for Life Laboratory,Scale Biology Research Program

[11] University of Helsinki,School of Computing Science

[12] Simon Fraser University,Turku Centre for Biotechnology

[13] Department of Bioinformatics,Key Lab of Bioinformatics/Bioinformatics Division, TNLIST and Department of Automation

[14] Institute of Molecular Biology and Biotechnology,School of Life Sciences

[15] Adam Mickiewicz University in Poznań,Department of Developmental and Cell Biology

[16] University of Turku and Åbo Akademi University,Center for Complex Biological Systems

[17] Tsinghua University,undefined

[18] Tsinghua University,undefined

[19] University of California,undefined

[20] Irvine,undefined

[21] University of California,undefined

[22] Irvine,undefined

来源：

Genome Biology | / 17卷

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[21] RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis [J].

Ramirez, Miguel ;

Alejandro Rojas-Quintero, Cristian ;

Enrique Vera-Parra, Nelson .

2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2015,

[22] Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data [J].

Ghosh, Debashis ;

Qin, Zhaohui S. .

GENES, 2010, 1 (02) :317-334

[23] Oqtans: a multifunctional workbench for RNA-seq data analysis [J].

Sreedharan, Vipin T. ;

Schultheiss, Sebastian J. ;

Jean, Geraldine ;

Kahles, Andre ;

Bohnert, Regina ;

Drewe, Philipp ;

Mudrakarta, Pramod ;

Goernitz, Nico ;

Zeller, Georg ;

Raetsch, Gunnar .

BMC BIOINFORMATICS, 2014, 15

[24] Computational analysis of alternative polyadenylation from standard RNA-seq and single-cell RNA-seq data [J].

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[25] Improving the Flexibility of RNA-Seq Data Analysis Pipelines [J].

Phan, John H. ;

Wu, Po-Yen ;

Wang, May D. .

2012 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS), 2012, :70-73

[26] Differential expression analysis for paired RNA-seq data [J].

Chung, Lisa M. ;

Ferguson, John P. ;

Zheng, Wei ;

Qian, Feng ;

Bruno, Vincent ;

Montgomery, Ruth R. ;

Zhao, Hongyu .

BMC BIOINFORMATICS, 2013, 14 :110

[27] PUseqClust: A Clustering Analysis Method for RNA-Seq Data [J].

Shi X.-F. ;

Liu X.-J. ;

Zhang L. .

Ruan Jian Xue Bao/Journal of Software, 2019, 30 (09) :2857-2868

[28] Multivariate approach to the analysis of correlated RNA-seq data [J].

Park, Hyunjin ;

Lee, Seungyeoun ;

Kim, Ye Jin ;

Choi, Myung-Sook ;

Park, Taesung .

2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, :1783-1786

[29] Intron Retention as a Mode for RNA-Seq Data Analysis [J].

Zheng, Jian-Tao ;

Lin, Cui-Xiang ;

Fang, Zhao-Yu ;

Li, Hong-Dong .

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[30] Getting the most out of RNA-seq data analysis [J].

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Lau, Ching Yee .

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