Abstract
Summary Preparing functional genomic (FG) data with diverse assay types and file formats for integration into analysis workflows that interpret genome-wide association and other studies is a significant and time-consuming challenge. Here we introduce hipFG, an automatically customized pipeline for efficient and scalable normalization of heterogenous FG data collections into standardized, indexed, rapidly searchable analysis-ready datasets while accounting for FG datatypes (e.g., chromatin interactions, genomic intervals, quantitative trait loci).
Availability and Implementation hipFG is freely available at https://bitbucket.org/wanglab-upenn/hipFG. Docker container is available at https://hub.docker.com/r/wanglab/hipfg.
Contact lswang{at}pennmedicine.upenn.edu
Supplementary information Supplementary data are available as BioRxiv supplemental files.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
↵† The authors wish it to be known that, in their opinions, the first two authors should be regarded as Joint First Authors