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

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

J. Huang Valérie Renault ¹ J. Sengenes N. Touleimat ² S. Michel ³ M. Lathrop ⁴ J. Tost

1 LIUM - Laboratoire d'Informatique de l'Université du Mans

2 CEA - Commissariat à l'énergie atomique et aux énergies alternatives

3 IBCP - Institut de biologie et chimie des protéines [Lyon]

4 CNG - Centre National de Génotypage

Document type :

Journal articles

Domain :

Mathematics [math]

Life Sciences [q-bio]

Life Sciences [q-bio] / Biochemistry, Molecular Biology

Life Sciences [q-bio] / Biochemistry, Molecular Biology / Genomics [q-bio.GN]

Life Sciences [q-bio] / Cellular Biology

Life Sciences [q-bio] / Quantitative Methods [q-bio.QM]

Life Sciences [q-bio] / Cancer

Life Sciences [q-bio] / Genetics

Life Sciences [q-bio] / Human health and pathology

Complete list of metadatas

https://hal-cea.archives-ouvertes.fr/cea-01833166
Contributor : Nizar Touleimat <>
Submitted on : Monday, July 9, 2018 - 2:08:01 PM
Last modification on : Wednesday, July 10, 2019 - 7:14:02 PM

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

Links full text

Identifiers

Collections

Citation

Export

Metrics

78

Contact

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

Links full text

Identifiers

Collections

Citation

Export

Share

Metrics

78

Contact