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

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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.

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Hwang, Y. C., Lin, C. F., Valladares, O., Malamon, J., Kuksa, P. P., Zheng, Q., … Wang, L. S. (2015). HIPPIE: A high-throughput identification pipeline for promoter interacting enhancer elements. Bioinformatics, 31(8), 1290–1292. https://doi.org/10.1093/bioinformatics/btu801

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