Bibliographic Details
| Title: |
HiCUP: pipeline for mapping and processing Hi-C data [version 1; referees: 2 approved, 1 approved with reservations] |
| Authors: |
Steven Wingett, Philip Ewels, Mayra Furlan-Magaril, Takashi Nagano, Stefan Schoenfelder, Peter Fraser, Simon Andrews |
| Source: |
F1000Research, Vol 4 (2015) |
| Publisher Information: |
F1000 Research Ltd, 2015. |
| Publication Year: |
2015 |
| Collection: |
LCC:Medicine
LCC:Science |
| Subject Terms: |
Bioinformatics, Genomics, Medicine, Science |
| More Details: |
HiCUP is a pipeline for processing sequence data generated by Hi-C and Capture Hi-C (CHi-C) experiments, which are techniques used to investigate three-dimensional genomic organisation. The pipeline maps data to a specified reference genome and removes artefacts that would otherwise hinder subsequent analysis. HiCUP also produces an easy-to-interpret yet detailed quality control (QC) report that assists in refining experimental protocols for future studies. The software is freely available and has already been used for processing Hi-C and CHi-C data in several recently published peer-reviewed studies. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2046-1402 |
| Relation: |
http://f1000research.com/articles/4-1310/v1; https://doaj.org/toc/2046-1402 |
| DOI: |
10.12688/f1000research.7334.1 |
| Access URL: |
https://doaj.org/article/3062fe9e657b4a0ab4c1ad31fc61ef9f |
| Accession Number: |
edsdoj.3062fe9e657b4a0ab4c1ad31fc61ef9f |
| Database: |
Directory of Open Access Journals |
