Literature DB >> 22199384

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

J Huang1, V Renault, J Sengenès, N Touleimat, S Michel, M Lathrop, J Tost.   

Abstract

MOTIVATION: We present a pipeline for the pre-processing, quality assessment, read distribution and methylation estimation for methylated DNA immunoprecipitation (MeDIP)-sequence datasets. This is the first MeDIP-seq-specific analytic pipeline that starts at the output of the sequencers. This pipeline will reduce the data analysis load on staff and allows the easy and straightforward analysis of sequencing data for DNA methylation. The pipeline integrates customized scripting and several existing tools, which can deal with both paired and single end data. AVAILABILITY: The package and extensive documentation, and comparison to public data is available at http://life.tongji.edu.cn/meqa/.

Mesh:

Year:  2011        PMID: 22199384     DOI: 10.1093/bioinformatics/btr699

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

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2.  Involvement of microRNA-24 and DNA methylation in resistance of nasopharyngeal carcinoma to ionizing radiation.

Authors:  Sumei Wang; Rong Zhang; Francois X Claret; Huiling Yang
Journal:  Mol Cancer Ther       Date:  2014-10-15       Impact factor: 6.261

3.  DNA methylation studies of depression with onset in the peripartum: A critical systematic review.

Authors:  Sarah Ellen Braun; Dana Lapato; Roy E Brown; Eva Lancaster; Timothy P York; Ananda B Amstadter; Patricia A Kinser
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4.  Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm.

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Journal:  Genome Res       Date:  2013-06-26       Impact factor: 9.043

5.  A comparison of the whole genome approach of MeDIP-seq to the targeted approach of the Infinium HumanMethylation450 BeadChip(®) for methylome profiling.

Authors:  Christine Clark; Priit Palta; Christopher J Joyce; Carol Scott; Elin Grundberg; Panos Deloukas; Aarno Palotie; Alison J Coffey
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6.  Resources for methylome analysis suitable for gene knockout studies of potential epigenome modifiers.

Authors:  Gareth A Wilson; Pawandeep Dhami; Andrew Feber; Daniel Cortázar; Yuka Suzuki; Reiner Schulz; Primo Schär; Stephan Beck
Journal:  Gigascience       Date:  2012-07-12       Impact factor: 6.524

Review 7.  Developmental ORIgins of Healthy and Unhealthy AgeiNg: the role of maternal obesity--introduction to DORIAN.

Authors:  Patricia Iozzo; Megan Holmes; Mathias V Schmidt; Francesca Cirulli; Maria Angela Guzzardi; Alessandra Berry; Georgia Balsevich; Maria Grazia Andreassi; Jan-Jaap Wesselink; Tiziana Liistro; Paulino Gómez-Puertas; Johan G Eriksson; Jonathan Seckl
Journal:  Obes Facts       Date:  2014-04-30       Impact factor: 3.942

8.  EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis.

Authors:  Sheng-Yao Su; I-Hsuan Lu; Wen-Chih Cheng; Wei-Chun Chung; Pao-Yang Chen; Jan-Ming Ho; Shu-Hwa Chen; Chung-Yen Lin
Journal:  BMC Genomics       Date:  2020-04-02       Impact factor: 3.969

Review 9.  DNA methylation data by sequencing: experimental approaches and recommendations for tools and pipelines for data analysis.

Authors:  Ieva Rauluseviciute; Finn Drabløs; Morten Beck Rye
Journal:  Clin Epigenetics       Date:  2019-12-12       Impact factor: 6.551

  9 in total

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