DownloadIntegrated Pipeline for Genome-Wide Association Studies
Features
- genome-wide association study (GWAS)
- quality control (qc)
- Manhattan plot and QQ plot
- Cochran-Armitage trend test, Association test
- combine GWAS dataset, Split GWAS Data by Chromosome
- Convert EIGENSTRAT output chi-square to p value
- Convert MACH imputation output to PED/MAP format and SNPTEST format
- Convert PED/MAP files to the default input format of PHASE and BEAGLE
- Convert PLINK and SNPTEST files to GWAMA format
- P-Value Calculator (Chi-square test, Cochran-Armitage trend test, and Fisher's exact test)
- Change affection status of GWAS data
- filt Subjects of GWAS data by affection status (case/control) and/or gender (male/female)
- GUI for PLINK, SNP ratio Test
- filter singleton significant SNPs
- eigPlot (plot the eigenstrat result)
- Convert PED/MAP files to the default input format of MACH and IMPUTE2
- Convert IMPUTE2 imputation output to TPED/TFAM (PLINK) format
Project Samples
Follow IPGWAS
You Might Also Like
Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of IPGWAS!