PolyFun (POLYgenic FUNctionally-informed fine-mapping)
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Updated
May 10, 2024 - Python
PolyFun (POLYgenic FUNctionally-informed fine-mapping)
Software to perform multi-ancestry SNP fine-mapping on molecular data
user-friendly pipeline for GWAS fine-mapping
🧬High-performance genetics- and genomics-related data visualization using Makie.jl
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.
echoverse module: Locus plot creation for fine-mapping and colocalization studies.
echoverse module: Annotate fine-mapping results
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)
Knowles Lab Research: determine which genetic variants cause a phenotype with non-binary functional annotations
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.
A collection of modules to process and analyze IMGT-HLA sequences.
flashfm-ivis: interactive visualisation for fine-mapping of multiple quantitative traits
Flashfm: multi-trait fine-mapping that uses GWAS summary statistics from several traits
Shiny app for plotting and sharing fine-mapping results from echolocatoR
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