Tools, Software, and Analysis Pipelines
The UMN Genomic Data Commons (GDC) develops and maintains open-source software, reproducible analysis pipelines, and computational workflows for large-scale genomic and multi-omics data analysis. Our resources are designed to support harmonized data processing, scalable statistical analyses, and reproducible biomedical research across diverse datasets and computing environments.
Open-Source Repositories
Our software and analysis pipelines are openly available through the UMN GDC GitHub, where we continuously develop and maintain tools for genomic data science.
Current repositories include tools and workflows for:
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Genotype quality control and harmonization
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Population stratification and ancestry inference
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Relationship estimation and kinship analysis
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Genome-wide association studies (GWAS)
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SNP heritability estimation
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Polygenic risk score (PRS) analysis
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Brain imaging genetics
Analysis Pipelines
The UMN Genomic Data Commons (GDC) develops and maintains standardized, reproducible analysis pipelines for large-scale genomic and multi-omics studies. Our workflows support data from the Adolescent Brain Cognitive Development (ABCD) Study, the HEALthy Brain and Child Development (HBCD) Study available through the NIH Brain Development Cohorts (NBDC) Data Hub, and other population-based cohorts. Designed to promote reproducibility, transparency, and scalability, these pipelines support collaborative research, education, and the development of new statistical methods.
We continue to expand the GDC software ecosystem with open-source tools, interactive dashboards, and cloud-enabled workflows for secure and reproducible genomic data science.
