PolyFun (POLYgenic FUNctionally-informed fine-mapping)
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Updated
Dec 9, 2024 - Python
PolyFun (POLYgenic FUNctionally-informed fine-mapping)
A collection of modules to process and analyze IMGT-HLA sequences.
Software to perform multi-ancestry SNP fine-mapping on molecular data
user-friendly pipeline for GWAS fine-mapping
Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)
Multple methods for BSA Pipeline
Find risk snp in the LD region of GWAS snps by convolutional neural network
gwas workflow from raw intensity data to in-silico functional mapping
MGflashfm: joint fine-mapping of genetic association signals in several traits amongst multiple population groups.
Generating a weighed average of LDSTORE matrices for locus-based fine-mapping.
Latent factor GWAS; Multi-trait fine-mapping for any number of uncorrelated traits (and limited number of correlated traits)
This method incorporates dense linkage disequilibrium block structure of SNPs for prioritizing a set of genetic variants using GWAS summary statisticis before performing fine-mapping.
Knowles Lab Research: determine which genetic variants cause a phenotype with non-binary functional annotations
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