Publications

@article{groza_personalized_2020,

title = {Personalized and graph genomes reveal missing signal in epigenomic data},

author = {Cristian Groza and Tony Kwan and Nicole Soranzo and Tomi Pastinen and Guillaume Bourque},

url = {https://doi.org/10.1186/s13059-020-02038-8},

doi = {10.1186/s13059-020-02038-8},

issn = {1474-760X},

year  = {2020},

date = {2020-01-01},

urldate = {2021-05-26},

journal = {Genome Biology},

volume = {21},

number = {1},

pages = {124},

abstract = {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 incorrectly mapped reads and bias downstream results.},

keywords = {ChIP-seq, De novo assembly, Epigenomics, Genome graphs, Modified reference, Personalized genomes, Reference bias},

pubstate = {published},

tppubtype = {article}

}