MeQA: a pipeline for MeDIP-seq data quality assessment and analysis

J. Huang; Valérie Renault; J. Sengenes; N. Touleimat; S. Michel; M. Lathrop; J. Tost

doi:10.1093/bioinformatics/btr699

Journal Articles Bioinformatics Year : 2012

MeQA: a pipeline for MeDIP-seq data quality assessment and analysis

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J. Huang

Function : Author
PersonId : 755390
ORCID : 0000-0002-9954-4707

Valérie Renault

Function : Author
PersonId : 175253
IdHAL : valerie-renault
ORCID : 0000-0003-4525-9705
IdRef : 061404217

Laboratoire d'Informatique de l'Université du Mans

CV

J. Sengenes

Function : Author

N. Touleimat

Function : Author

Commissariat à l'énergie atomique et aux énergies alternatives

S. Michel

Function : Author

Institut de biologie et chimie des protéines [Lyon]

M. Lathrop

Function : Author

Centre National de Génotypage

J. Tost

Function : Author

Domains

Mathematics [math] Life Sciences [q-bio] Biochemistry, Molecular Biology Genomics [q-bio.GN] Cellular Biology Quantitative Methods [q-bio.QM] Cancer Genetics Human health and pathology

Nizar TOULEIMAT : Connect in order to contact the contributor

https://hal-cea.archives-ouvertes.fr/cea-01833166

Submitted on : Monday, July 9, 2018-2:08:01 PM

Last modification on : Friday, March 24, 2023-2:53:07 PM

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cea-01833166 , version 1 (09-07-2018)

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HAL Id : cea-01833166 , version 1
DOI : 10.1093/bioinformatics/btr699

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J. Huang, Valérie Renault, J. Sengenes, N. Touleimat, S. Michel, et al.. MeQA: a pipeline for MeDIP-seq data quality assessment and analysis. Bioinformatics, 2012, 28 (4), pp.587 - 588. ⟨10.1093/bioinformatics/btr699⟩. ⟨cea-01833166⟩

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MeQA: a pipeline for MeDIP-seq data quality assessment and analysis

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