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Upload genomic data for comprehensive variant enrichment with population genetics, protein structure analysis, drug targeting, pathway analysis, and clinical evidence integration

About BAM Files: Binary Alignment Map (BAM) files contain sequenced DNA reads aligned to a reference genome. For cancer analysis, you need tumor tissue and optionally normal tissue BAM files.

Comprehensive Enrichment: Every variant is automatically enriched with population allele frequencies from 71,000+ genomes, protein structure predictions from 200 million+ proteins, drug-target interactions from 1.6 million+ compounds, protein-protein interaction networks, cancer pathway analysis, functional impact predictions, clinical evidence from curated databases, research literature citations, and therapeutic matching from FDA-approved drugs and clinical trials.

About VCF Files: Variant Call Format (VCF) files contain pre-called genetic variants. Using VCF is much faster than BAM files because variant calling has already been performed. Omics807 will directly annotate and analyze your variants.

Supported: .vcf and .vcf.gz (compressed VCF) files from any variant caller (GATK, DeepSomatic, Strelka2, etc.)

Comprehensive Enrichment: All variants are automatically enriched with population allele frequencies, protein structure predictions, drug-target interactions, protein-protein networks, cancer pathway analysis, functional impact predictions, clinical evidence, research literature, and therapeutic matching—delivering comprehensive precision medicine insights from germline filtering to actionable treatment options.

Click to upload tumor BAM file
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Click to upload normal BAM file
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WGS: Complete genome coverage. Best for detecting all variant types including structural variants. Use when you have both tumor and normal samples.

Demo Case Studies

Comprehensive synthetic datasets for platform demonstration

🔬

Melanoma

25 variants

BRAF V600E driver mutation with NRAS, CDKN2A, TP53 co-mutations

🫁

Lung Cancer (NSCLC)

30 variants

EGFR L858R mutation with KRAS, TP53, ALK alterations

Breast Cancer

30 variants

HER2-positive with PIK3CA H1047R, TP53, ESR1 mutations

🧪

Colorectal Cancer

30 variants

APC, KRAS G12D/V, TP53, SMAD4 mutations (typical CRC profile)

⚗️

Pancreatic Cancer

30 variants

KRAS G12D, TP53, CDKN2A, SMAD4 (classic PDAC quartet)

💡 Perfect for testing: Each case includes 25-30 variants with comprehensive enrichment potential across VEP, CIViC, literature, and therapeutic databases

Click to upload VCF file (.vcf or .vcf.gz)
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