Name
Title | ||
|---|---|---|
HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization. |
Abstract | ||
|---|---|---|
Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial next step in the unraveling of global gene regulation, and methods for analyzing such data are needed. We have developed HiBrowse, a user-friendly web-tool consisting of a range of hypothesis-based and descriptive statistics, using realistic assumptions in null-models. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bioinformatics/btu082 | BIOINFORMATICS |
Keywords | Field | DocType |
genomics,genome,chromatin | Genome,Descriptive statistics,Source code,Computer science,Genomics,Software,Bioinformatics,Chromatin,Python (programming language),Chromosome conformation capture | Journal |
Volume | Issue | ISSN |
30 | 11 | 1367-4803 |
Citations | PageRank | References |
10 | 0.88 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonas Paulsen | 1 | 15 | 2.03 |
| Geir K Sandve | 2 | 236 | 18.27 |
| Sveinung Gundersen | 3 | 29 | 3.11 |
| Tonje G Lien | 4 | 10 | 1.21 |
| Kai Trengereid | 5 | 13 | 1.63 |
| Eivind Hovig | 6 | 215 | 21.79 |