Personalized and graph genomes reveal missing signal in epigenomic data

Personalized and graph genomes reveal missing signal in epigenomic data

Abstract Background Epigenomic studies that use next generation sequencing experiments typically rely on the alignment of reads to a reference sequence. However, because of genetic diversity and the diploid nature of the human genome, we hypothesize that using a generic reference could lead to incor...

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Bibliographic Details
Main Authors: Cristian Groza, Tony Kwan, Nicole Soranzo, Tomi Pastinen, Guillaume Bourque
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Genome Biology
Subjects:
Personalized genomes
Genome graphs
De novo assembly
Modified reference
Reference bias
ChIP-seq
Online Access:http://link.springer.com/article/10.1186/s13059-020-02038-8

Internet

http://link.springer.com/article/10.1186/s13059-020-02038-8

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