There are 3 repositories under fine-mapping topic.
🧬High-performance genetics- and genomics-related data visualization using Makie.jl
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
A collection of modules to process and analyze IMGT-HLA sequences.
Create LocusZoom-style plots in R.
Software to perform multi-ancestry SNP fine-mapping on molecular data
Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)
user-friendly pipeline for GWAS fine-mapping
Shiny app for plotting and sharing fine-mapping results from echolocatoR
gwas workflow from raw intensity data to in-silico functional mapping
Flashfm: multi-trait fine-mapping that uses GWAS summary statistics from several traits
MGflashfm: joint fine-mapping of genetic association signals in several traits amongst multiple population groups.
echoverse module: Annotate fine-mapping results
echoverse module: Locus plot creation for fine-mapping and colocalization studies.
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
flashfm-ivis: interactive visualisation for fine-mapping of multiple quantitative traits