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).
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168270 | PMC |
http://dx.doi.org/10.1101/2023.04.21.537695 | DOI Listing |
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