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HIPPIE: a high-throughput identification pipeline for promoter interacting enhancer elements.

Authors :
Yih-Chii Hwang
Chiao-Feng Lin
Otto Valladares
Malamon, John
Kuksa, Pavel P.
Qi Zheng
Gregory, Brian D.
Li-San Wang
Source :
Bioinformatics. 4/1/2015, Vol. 31 Issue 7, p1290-1292. 3p.
Publication Year :
2015

Abstract

Summary: 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. Availability and implementation: This software package is designed to run on high-performance computing clusters with Oracle Grid Engine. The source code is freely available under the MIT license for academic and nonprofit use. The source code and instructions are available at the Wang lab website (http://wanglab.pcbi.upenn.edu/hippie/). It is also provided as an Amazon Machine Image to be used directly on Amazon Cloud with minimal installation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
31
Issue :
7
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
102125042
Full Text :
https://doi.org/10.1093/bioinformatics/btu801