An Efficient Swiss Army Knife for Population Genomic Analyses in R
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Updated
May 21, 2024 - R
An Efficient Swiss Army Knife for Population Genomic Analyses in R
visual analysis of your VCF files
Basic and fast GWAS functions for QQ and Manhattan plots (incl. gene names)
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
Statistical and computational analysis of the human genome
Handy reusable bioinformatic scripts
Pipeline to identify repetitive elements on non-model species genomes.
An integrated pipeline for analysis and visualization of Population Structure and Relatedness based on genome-wide genetic variant data
mvtests: a suite of functions for testing genetic associations of multiple traits (a.k.a. cross-phenotype associations)
Plastome Assembly Coverage Visualization in R
USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.
A human-first SV annotation snakemake pipeline based on nanotatoR working with optical mapping (Bionano Genomics) data
Software supporting M. Cavallaro, et al., 3′-5′ crosstalk contributes to transcriptional bursting. Genome Biol 22, 56 (2021). https://doi.org/10.1186/s13059-020-02227-5
Genome Analysis Toolkit
Analysis of input alphabet sequential data
A streamlined pipeline for germline variant calling on chromosome 11 using GATK. This repository includes workflows for data preprocessing, variant discovery, and annotation, with a focus on understanding genetic variations linked to disease-associated genes.
Create a Bioconductor/R SDK for Arvados
Optimal AlphaMissense threshold based on VKGL variant classifications
POM-PS tests for genetic associations of secondary traits from case-control GWAS.
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