Practical Guide to ChIP-seq Data Analysis

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A01=Anais F Bardet
A01=Borbala Mifsud
A01=Kathi Zarnack
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BAM File
bioinformatics
bioinformatics workflows
Cat Peaks
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ChIP Sample
ChIP Seq
ChIP Seq Data
ChIP Seq Dataset
ChIP Seq Experiment
ChIP Seq Peak
ChIP Seq Signal
ChIP Seq Study
chromatin profiling data interpretation
computational biology
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DNA Methylation
Empirical FDR
epigenomics analysis
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experimental design genomics
FASTQ File
FDR Cutoff
Genome Browser
H3K27ac Peaks
Kathi Zarnack
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NCBI SRA
next generation sequencing
Normalised Read Counts
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peak calling algorithms
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Protein DNA Complex
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Raw Sequencing Reads
Reference Genome
softlaunch
TF Motif
transcription factor binding
UCSC Genome Browser
WT Sample

Product details

  • ISBN 9781138596528
  • Weight: 249g
  • Dimensions: 138 x 216mm
  • Publication Date: 05 Nov 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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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.

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.

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