wanglab/bts repository overview

This docker includes pre-installed/pre-configured 1) BTS pipeline for analyzing genome-wide GWAS summary statistics files 2) BTS R package implementing very efficient Bayesian fine-mapping model and 3) scripts for accessing/querying FILER functional annotation data for functional annotation-based cell type/genomic feature and genomic region/variant prioritization.

BTS GWAS summary statistics analysis pipeline: https://bitbucket.org/wanglab-upenn/bts-pipeline⁠ and BTS R package: https://bitbucket.org/wanglab-upenn/bts-r⁠

BTS Docker source: https://bitbucket.org/wanglab-upenn/bts-docker⁠

Citation: Pavel P. Kuksa, Matei Ionita, Luke Carter, Jeffrey Cifello, Kaylyn Clark, Otto Valladares, Yuk Yee Leung, Li-San Wang. BTS: scalable Bayesian Tissue Score for prioritizing GWAS variants and their functional contexts across omics data. bioRxiv 2024.10.30.621077; doi: https://doi.org/10.1101/2024.10.30.621077⁠