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Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes.
Grytten, Ivar; Rand, Knut D; Nederbragt, Alexander J; Storvik, Geir O; Glad, Ingrid K; Sandve, Geir K.
Affiliation
  • Grytten I; Department of informatics, University of Oslo, Oslo, Norway.
  • Rand KD; Department of Mathematics, University of Oslo, Oslo, Norway.
  • Nederbragt AJ; Department of informatics, University of Oslo, Oslo, Norway.
  • Storvik GO; Department of Biosciences, University of Oslo, Oslo, Norway.
  • Glad IK; Department of Mathematics, University of Oslo, Oslo, Norway.
  • Sandve GK; Department of Mathematics, University of Oslo, Oslo, Norway.
PLoS Comput Biol ; 15(2): e1006731, 2019 02.
Article de En | MEDLINE | ID: mdl-30779737
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.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse de séquence d'ADN / Génomique / Immunoprécipitation de la chromatine Langue: En Journal: PLoS Comput Biol Sujet du journal: BIOLOGIA / INFORMATICA MEDICA Année: 2019 Type de document: Article Pays d'affiliation: Norvège

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse de séquence d'ADN / Génomique / Immunoprécipitation de la chromatine Langue: En Journal: PLoS Comput Biol Sujet du journal: BIOLOGIA / INFORMATICA MEDICA Année: 2019 Type de document: Article Pays d'affiliation: Norvège