Practical Guide to ChIP-seq Data Analysis

Borbala Mifsud

ISBN 10: 1138596523 / ISBN 13: 9781138596528

Published by Taylor & Francis Ltd Nov 2018, 2018

About this Item

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Seller Inventory # 9781138596528

Bibliographic Details

• Title: Practical Guide to ChIP-seq Data Analysis
• Publisher: Taylor & Francis Ltd Nov 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 1138596523
• ISBN 13: 9781138596528
• Binding: Buch
• Condition: Neu
• Dimensions: 221W x 144H x 13D millimeters 221 millimeters width by 144 millimeters height by 13 millimeters depth
• Weight: 254 grams

About this title

Synopsis

Chromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through the steps of ChIP-seq analysis: from quality control, through peak calling, to downstream analyses. It will help experimental biologists to design their ChIP-seq experiments with the analysis in mind, and to perform the basic analysis steps themselves. It also aims to support bioinformaticians to understand how the data is generated, what the sources of biases are, and which methods are appropriate for different analyses.

About the Author

Borbala Mifsud is an assistant professor in Epigenomics at the Hamad Bin Khalifa University, Doha, Qatar. She is a computational biologist with a background in molecular biology and works on 3D chromatin conformation and the integration of epigenomic data.

Kathi Zarnack is a principal investigator in Computational RNA Biology at the Buchmann Institute for Molecular Life Sciences (BMLS), Goethe University Frankfurt, Germany. She is a computational biologist with a background in molecular biology and broad experience in analysing high-throughput sequencing data.

Anaïs F Bardet is a tenured researcher at the National Center for Scientific Research (CNRS) at the University of Strasbourg, France. She is a computational biologist and develops projects exploring the regulation of transcription factor binding.