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  Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data

Lienhard, M., & Chavez, L. (2016). Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data. In E. Mathé, & S. Davis (Eds.), Statistical Genomics.

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Lienhard.pdf (Publisher version), 420KB
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© 2016 Springer International Publishing AG. Part of Springer Nature
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 Creators:
Lienhard, M.1, Author           
Chavez, L., Author
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1Bioinformatics (Ralf Herwig), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479648              

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Free keywords: Chromatin Immunoprecipitation Computational Biology/*methods/standards Databases, Genetic Epigenesis, Genetic Epigenomics/methods Genomics/*methods/standards *High-Throughput Nucleotide Sequencing Humans Molecular Sequence Annotation Sequence Alignment *Sequence Analysis, DNA/methods *Software Bioconductor ChIP-seq Computational biology DNA enrichment DNA methylation Epigenetics MeDIP-seq Quality control Sequencing
 Abstract: DNA enrichment followed by sequencing (DNA-IP seq) is a versatile tool in molecular biology with a wide variety of applications. Computational analysis of differential DNA enrichment between conditions is important for identifying epigenetic alterations in disease compared to healthy controls and for revealing dynamic epigenetic modifications throughout normal and distorted cell differentiation and development. We present a protocol for genome-wide comparative analysis of DNA-IP sequencing data to identify statistically significant differential sequencing coverage between two conditions by considering variation across replicates. The protocol provides a detailed description for the comparative analysis of DNA-IP sequencing data including basic data processing, quality controls, and identification of differential enrichment using the Bioconductor package "MEDIPS".

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Language(s): eng - English
 Dates: 2016
 Publication Status: Issued
 Pages: 18
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: PMID: 27008016
DOI: 10.1007/978-1-4939-3578-9_10
ISSN: 1940-6029 (Electronic)1064-3745 (Print)
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Title: Statistical Genomics
Source Genre: Book
 Creator(s):
Mathé, Ewy, Editor
Davis, Sean, Editor
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 978-1-4939-3576-5

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Title: Methods in molecular biology
Source Genre: Series
 Creator(s):
Walker, John M., Editor
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Pages: - Volume / Issue: 1418 Sequence Number: - Start / End Page: 191 - 208 Identifier: ISSN: 1064-3745