首页> PLoS computational biology> Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation.

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation.

导出 OA

翻译打印收藏纠错

第一作者： Brittany,Baur

第一单位： Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

作者： Brittany,Baur ^[1] ; Junha,Shin ^[1] ; Jacob,Schreiber ^[2] ; Shilu,Zhang ^[1] ; Yi,Zhang ^[3] ; Mohith,Manjunath ^[4] ; Jun S,Song ^[5] ; William,Stafford Noble ^[6] ; Sushmita,Roy ^[7]

作者单位： Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, United States of America. ^[1] Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America. ^[2] Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America. ^[3] Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America. ^[4] Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.;Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.;Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America. ^[5] Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America.;Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America. ^[6] Wisconsin Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.;Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America. ^[7]

医学主题词人类(Humans);全基因组关联研究(Genome-Wide Association Study);基因调控网络(Gene Regulatory Networks);基因组(Genome);表观基因组学(Epigenomics);多态性, 单核苷酸(Polymorphism, Single Nucleotide);疾病遗传易感性(Genetic Predisposition to Disease)

DOI 10.1371/journal.pcbi.1011286

PMID 37428809

发布时间 2023-07-25

基金项目

U54 AI117924/AI/NIAID NIH HHS/United States R01 CA163336/CA/NCI NIH HHS/United States T32 HG002760/HG/NHGRI NIH HHS/United States U24 HG009446/HG/NHGRI NIH HHS/United States R01 HG010045/HG/NHGRI NIH HHS/United States

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交