Format

Send to

Choose Destination
Methods Mol Biol. 2016;1480:37-53. doi: 10.1007/978-1-4939-6380-5_4.

ChIP-seq Data Processing for PcG Proteins and Associated Histone Modifications.

Author information

1
ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, Perth, WA, 6009, Australia.
2
Radboud University, Department of Molecular Developmental Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Nijmegen, 6500HB, The Netherlands. s.vanheeringen@science.ru.nl.

Abstract

Chromatin Immunoprecipitation followed by massively parallel DNA sequencing (ChIP-sequencing) has emerged as an essential technique to study the genome-wide location of DNA- or chromatin-associated proteins, such as the Polycomb group (PcG) proteins. After being generated by the sequencer, raw ChIP-seq sequence reads need to be processed by a data analysis pipeline. Here we describe the computational steps required to process PcG ChIP-seq data, including alignment, peak calling, and downstream analysis.

KEYWORDS:

ChIP-seq; ChIP-sequencing; H3K27me3; PRC1; PRC2; Polycomb

PMID:
27659973
DOI:
10.1007/978-1-4939-6380-5_4
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center