Processed data and results of the INFIMA paper

This Zenodo repository makes the processed data and the results of our INFIMA paper available. Our paper presents a method called INFIMA for Integrative Fine-Mapping with Model Organism Multi-Omics Data. INFIMA capitalizes on multi-omics data modalities such as chromatin accessibility and transcriptome from the eight Diversity Outbred (DO) mice founder strains to fine-map DO islet eQTL. In addition, INFIMA employs footprinting and in silico mutation analysis to reveal regulatory genetic variants that mediate strain-specific expression differences. The source code for reproducing the data can be found at Github. Please also check our Shiny app for data visualization!

Related Organizations

University of Wisconsin–Oshkosh
United States

Keywords

Diversity outbred mice, Fine-mapping, Pancreatic islets, GWAS, ATAC-seq, RNA-seq, easy Hi-C, Molecular quantitative trait loci, Transfer learning

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