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Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes.

Authors :
Ivar Grytten
Knut D Rand
Alexander J Nederbragt
Geir O Storvik
Ingrid K Glad
Geir K Sandve
Source :
PLoS Computational Biology, Vol 15, Iss 2, p e1006731 (2019)
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

Graph-based representations are considered to be the future for reference genomes, as they allow integrated representation of the steadily increasing data on individual variation. Currently available tools allow de novo assembly of graph-based reference genomes, alignment of new read sets to the graph representation as well as certain analyses like variant calling and haplotyping. We here present a first method for calling ChIP-Seq peaks on read data aligned to a graph-based reference genome. The method is a graph generalization of the peak caller MACS2, and is implemented in an open source tool, Graph Peak Caller. By using the existing tool vg to build a pan-genome of Arabidopsis thaliana, we validate our approach by showing that Graph Peak Caller with a pan-genome reference graph can trace variants within peaks that are not part of the linear reference genome, and find peaks that in general are more motif-enriched than those found by MACS2.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
15
Issue :
2
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.50eeba364f0a42efaa678aaba9fb19e4
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1006731