Name
Abstract | ||
|---|---|---|
Motivation: High throughput chromatin conformation capture (3C) technologies, such as Hi-C and ChIA-PET, have the potential to elucidate the functional roles of non-coding variants. However, most of published genome-wide unbiased chromatin organization studies have used cultured cell lines, limiting their generalizability. Results: We developed a web browser, HUGIn, to visualize Hi-C data generated from 21 human primary tissues and cell lines. HUGIn enables assessment of chromatin contacts both constitutive across and specific to tissue(s) and/or cell line(s) at any genomic loci, including GWAS SNPs, eQTLs and cis-regulatory elements, facilitating the understanding of both GWAS and eQTL results and functional genomics data. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1093/bioinformatics/btx359 | BIOINFORMATICS |
Field | DocType | Volume |
Biology,Genome-wide association study,Functional genomics,Single-nucleotide polymorphism,Bioinformatics,Genetics,Locus (genetics),Chromatin,Chromosome conformation capture,Limiting,Organization studies | Journal | 33 |
Issue | ISSN | Citations |
23 | 1367-4803 | 2 |
PageRank | References | Authors |
0.66 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joshua S. Martin | 1 | 10 | 1.90 |
| Zheng Xu | 2 | 10 | 2.97 |
| Alexander P. Reiner | 3 | 4 | 1.05 |
| Karen L. Mohlke | 4 | 4 | 1.05 |
| patrick f sullivan | 5 | 165 | 22.87 |
| Bing Ren | 6 | 167 | 18.78 |
| Ming Hu | 7 | 102 | 11.49 |
| Yun Li | 8 | 18 | 6.72 |