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Welcome to JianYang Lab!

We are a team of researchers focused on understanding genomic variation and its impact on human health. Our work involves developing advanced statistical methods to analyze genetic and omics data from large cohorts, with the aim of improving the diagnosis, treatment, and prevention of complex diseases.

Our research areas include genomic variation and population health, molecular mechanisms underlying complex traits and diseases, genomic risk prediction, cancer genomics, and the development of bioinformatics tools.

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  1. MeDuSA Public

    MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance in bulk RNA-seq data.

    R 43 3

  2. gsMap Public

    Integrating GWAS and spatial transcriptomics for spatially resolved mapping of cells associated with human complex traits.

    Python 111 9

  3. crussmap Public

    crussmap is a faster tool to convert genome coordinates between difference reference assemblies.

    Rust 14

  4. adview Public

    Adata Viewer: Head/Less/Shape h5ad file in terminal

    Rust 8

  5. GCTA Public

    C 3

  6. SMR-Portal Public

    Forked from jianyanglab/SMR-Portal

    SMR-Portal: an online platform for integrative analysis of GWAS and xQTL data to identify complex trait genes.

    Vue

Repositories

Showing 10 of 13 repositories
  • gsMap Public

    Integrating GWAS and spatial transcriptomics for spatially resolved mapping of cells associated with human complex traits.

    Python 111 MIT 9 3 0 Updated Apr 2, 2025
  • SMR Public
    C++ 1 GPL-2.0 0 0 0 Updated Mar 24, 2025
  • SlurmSlim Public

    Optimize Slurm Job Scheduling with MCP-Based Memory Estimation

    Python 1 0 0 0 Updated Mar 23, 2025
  • adview Public

    Adata Viewer: Head/Less/Shape h5ad file in terminal

    Rust 8 MIT 0 0 0 Updated Mar 19, 2025
  • OSCA Public
    C++ 1 0 0 0 Updated Mar 17, 2025
  • GCTA Public
    C 3 GPL-3.0 0 0 0 Updated Mar 17, 2025
  • MeDuSA Public

    MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance in bulk RNA-seq data.

    R 43 3 0 0 Updated Feb 20, 2025
  • MeDuSAJ Public
    C++ 3 0 0 0 Updated Jan 14, 2025
  • depthmate Public

    calculate reference and alternate base depth in tumor-normal pair matched bam

    Rust 2 0 0 0 Updated Dec 30, 2024
  • .github Public

    JianYang Lab

    2 0 0 0 Updated Dec 21, 2024

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