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.
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Updated
Jan 17, 2023 - HTML
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.
echoverse module: Annotate fine-mapping results
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-ivis: interactive visualisation for fine-mapping of multiple quantitative traits
Find risk snp in the LD region of GWAS snps by convolutional neural network
Knowles Lab Research: determine which genetic variants cause a phenotype with non-binary functional annotations
Generating a weighed average of LDSTORE matrices for locus-based fine-mapping.
Multi-trait fine-mapping for any number of uncorrelated traits (and limited number of correlated traits)
DeepGWAS: Enhance GWAS Signals for Neuropsychiatric Disorders via Deep Neural Network
echoverse module: Locus plot creation for fine-mapping and colocalization studies.
user-friendly pipeline for GWAS fine-mapping
🧬High-performance genetics- and genomics-related data visualization using Makie.jl
Shiny app for plotting and sharing fine-mapping results from echolocatoR
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/
Software to perform multi-ancestry SNP fine-mapping on molecular data
Multple methods for BSA Pipeline
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