A survey of best practices for RNA-seq data analysis (vol 17, 13, 2016)

Ana Conesa; Pedro Madrigal; Sonia Tarazona; David Gomez-Cabrero; Alejandra Cervera; Andrew McPherson; Michal Wojciech Szczesniak; Daniel J. Gaffney; Laura L. Elo; Xuegong Zhang; Ali Mortazavi

doi:10.1186/s13059-016-1047-4

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A survey of best practices for RNA-seq data analysis (vol 17, 13, 2016)

Journal article

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A survey of best practices for RNA-seq data analysis (vol 17, 13, 2016)

Ana Conesa, Pedro Madrigal, Sonia Tarazona, David Gomez-Cabrero, Alejandra Cervera, Andrew McPherson, Michal Wojciech Szczesniak, Daniel J. Gaffney, Laura L. Elo, Xuegong Zhang, …

Genome biology, Vol.17

26/08/2016

DOI: https://doi.org/10.1186/s13059-016-1047-4

PMID: 27565134

Abstract

Biotechnology & Applied Microbiology

Genetics & Heredity

Life Sciences & Biomedicine

Science & Technology

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Title: A survey of best practices for RNA-seq data analysis (vol 17, 13, 2016)
Creators - without role: Ana Conesa - University of Florida
Pedro Madrigal - Wellcome/MRC Cambridge Stem Cell Institute
Sonia Tarazona - Universitat Politècnica de València
David Gomez-Cabrero - Karolinska University Hospital
Alejandra Cervera - University of Helsinki
Andrew McPherson - Simon Fraser University
Michal Wojciech Szczesniak - Adam Mickiewicz Univ, Inst Mol Biol & Biotechnol, Dept Bioinformat, PL-61614 Poznan, Poland
Daniel J. Gaffney - Wellcome Sanger Institute
Laura L. Elo - Åbo Akademi University
Xuegong Zhang - Tsinghua University
Ali Mortazavi - University of California, Irvine
Publication Details: Genome biology, Vol.17
Publisher: Springer Nature
Number of pages: 2
Identifiers: 9942071308331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article