KGGA is an open-source genomic platform that accelerates large-scale genetics studies by 10-100 times through its super-efficient file system (GTB/CCF), enabling the analysis of millions of samples on standard workstations.

kSDFA is a toolkit for efficient analyses of structural variants (SV) and phenotypes, designed to accurately and rapidly parse, store, annotate, and analyze SV data in large population samples.

KGGSum integrates multi-omics data with GWAS summary data through statistical modeling to prioritize associated and causal genes, cell types, drugs, and other environmental factors of complex phenotypes.

A systematic biological Knowledge-based mining system for Genome-wide Genetic studies.

A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data.

A biological Knowledge-based mining platform for Genomic and Genetic association Summary statistics using gEne Expression.

A reliable somatic single nucleotide variant identification framework for bulk RNA-Seq data.

A high-performance compression tool designed specifically for genomic data.

Fast and Accurate P-value Imputation for genetic association.

Tool to track SNPs.

A tool to Integrate Genotypes for genome-wide Genetic Studies.

Genetic Type I Error Calculator.

Simultaneously estimate associated tissues/cell types and genes of complex diseases and traits by GWAS summary statistics.

Robust-regression z-score.

a comprehensive web server for resolving spatial heterogeneity of cell types associated with complex phenotypes