HiView: An integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants

BMC Research Notes

Volumn 9, Issue 1, 2016, Pages

  Xu, Zheng ^a,b,c   Zhang, Guosheng ^b,c   Duan, Qing ^b   Chai, Shengjie ^c   Zhang, Baqun ^d   Wu, Cong ^e   Jin, Fulai ^f   Yue, Feng ^g   Li, Yun ^a,b,c   Hu, Ming ^h  

^a University of North Carolina at Chapel Hill   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF NORTH CAROLINA   (United States)

^d RENMIN UNIVERSITY OF CHINA   (China)

^e NANJING AGRICULTURAL UNIVERSITY   (China)

^f CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g PENN STATE COLLEGE OF MEDICINE   (United States)

^h NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

GWAS variants; Hi C data; Integrative genome browser

Indexed keywords

GENETICS; GENOME-WIDE ASSOCIATION STUDY; HUMAN; HUMAN GENOME; INTERNET; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE;

GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; HUMANS; INTERNET; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 84960907659     PISSN: None     EISSN: 17560500     Source Type: Journal    
DOI: 10.1186/s13104-016-1947-0     Document Type: Article

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