PolyFun (POLYgenic FUNctionally-informed fine-mapping)

🧬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.

Fine-mapping pipeline in R: FINEMAP, CAVIAR, PAINTOR, GCTA-COJO, ABF

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

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

echoverse module: Locus plot creation for fine-mapping and colocalization studies.

Shiny app for plotting and sharing fine-mapping results from echolocatoR

Find risk snp in the LD region of GWAS snps by convolutional neural network

DeepGWAS: Enhance GWAS Signals for Neuropsychiatric Disorders via Deep Neural Network

MGflashfm: joint fine-mapping of genetic association signals in several traits amongst multiple population groups.

gwas workflow from raw intensity data to in-silico functional mapping

Flashfm: multi-trait fine-mapping that uses GWAS summary statistics from several traits. Updated and more flexible wrapper functions available at jennasimit.github.io/flashfmZero/

echoverse module: Annotate fine-mapping results

Generating a weighed average of LDSTORE matrices for locus-based fine-mapping.