Introduction
Our platform provides a comprehensive set of tools designed for genomic data analysis, covering the entire workflow from data conversion to advanced statistical analysis. These tools are organized into five main categories to help you efficiently process, analyze, and interpret genomic data.Tool Categories
Data Conversion & Processing
12 tools for converting, filtering, and processing genomic data formats
Analysis & Querying
8 tools for statistical analysis and data exploration
ANOVA Tools
12 specialized tools for variance analysis in genomic studies
GWAS Tools
4 tools for genome-wide association studies
Knowledge Base & Search
RAG-powered semantic search for genomic information
Quick Start
Common Workflows
VCF Processing Pipeline
- Convert genomic data to VCF format using
genomic_to_vcf - Validate compatibility with
check_vcf_compatibility - Index the VCF file using
index_vcf - Filter variants by genes or RSIDs as needed
ANOVA Analysis Workflow
- Plan and validate inputs with
plan_anova_inputs - Map sample identifiers using
anova_id_conversionoranova_wes_id_mapping - Run ANOVA analysis with
anova_with_vcf - Filter coding variants using
anova_filter_coding_variants - Compare frequencies with
anova_reference_allele_freq - Prioritize variants using
anova_freq_diff_topk
GWAS Analysis Workflow
- Prepare PLINK inputs with
plan_plink_gwas_inputs - Execute GWAS analysis using
run_plink_gwas - Visualize results with
create_manhattan_plot - Identify significant loci and follow up
Statistical Analysis Workflow
- Prepare data using conversion tools
- Analyze with SQL queries or ANOVA tests
- Visualize results with Manhattan plots (for GWAS)
- Interpret findings using the knowledge base search
