Name
Title | ||
|---|---|---|
HIPPIE: a high-throughput identification pipeline for promoter interacting enhancer elements. |
Abstract | ||
|---|---|---|
We implemented a high-throughput identification pipeline for promoter interacting enhancer element to streamline the workflow from mapping raw Hi-C reads, identifying DNA-DNA interacting fragments with high confidence and quality control, detecting histone modifications and DNase hypersensitive enrichments in putative enhancer elements, to ultimately extracting possible intra- and inter-chromosomal enhancer-target gene relationships. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/bioinformatics/btu801 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Computer science,Source code,Oracle,MIT License,Software,Bioinformatics,Enhancer,Workflow,Grid,Cloud computing | Journal | 31 |
Issue | ISSN | Citations |
8 | 1367-4803 | 4 |
PageRank | References | Authors |
0.46 | 7 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yih-Chii Hwang | 1 | 5 | 0.86 |
| Chiao-Feng Lin | 2 | 9 | 1.64 |
| Otto Valladares | 3 | 11 | 2.82 |
| John Malamon | 4 | 4 | 0.46 |
| Pavel Kuksa | 5 | 399 | 24.10 |
| Qi Zheng | 6 | 4 | 0.46 |
| Brian D. Gregory | 7 | 9 | 1.39 |
| Li-San Wang | 8 | 48 | 6.23 |