145 S 79th St Suite 11 Chandler, AZ, 85226 4799 United StatesOverview We build and operate genomic data infrastructure. Partners engage us in two ways: license our bioinformatics pipelines and reporting stack under their own brand, or send us samples and data for end-to-end sequencing and analysis. We also offer standalone bioinformatics analysis per client request. 1. White-Label Bioinformatics Infrastructure Deployable, brand-agnostic bioinformatics infrastructure for organizations that need genomic analysis under their own name. We develop, validate, and hand off the pipeline layer, secondary and tertiary analysis, variant annotation, interpretation logic, and report generation, configured to your content, thresholds, and visual identity. Typical engagements: diagnostics companies scaling beyond a manual process, health platforms adding a genomics product line, labs with sequencing capacity but no analysis stack, and CROs needing a defensible interpretation layer. Includes pipeline development and validation, containerized deployment to your cloud or ours, custom report templating, and documentation to support your quality system. 2. Service listings Variant / Mutation Calling: Germline and somatic calling from WGS, WES, or targeted panels. SNV, indel, CNV, and SV detection with annotation, filtering, and tiered variant prioritization. Pharmacogenomics (PGx): Star-allele calling and diplotype assignment across core PGx genes, with CPIC/DPWG-aligned phenotype translation and drug-gene interaction summaries. HLA Typing: High-resolution HLA class I and II typing from NGS data, with allele-level resolution for transplant matching, immunogenicity, and neoantigen work. Nutrigenomics: Targeted panel or WGS-derived genotyping across nutrient metabolism, absorption, and response loci, delivered as structured genotype-phenotype output. Bulk RNA-Seq: Library prep through differential expression: QC, alignment, quantification, DE analysis, pathway/GSEA enrichment. Single-Cell RNA-Seq (scRNA-Seq): Cell capture through annotated clusters: QC, doublet removal, integration, clustering, cell-type annotation, and trajectory or differential abundance analysis on request. Clinical Reporting & Interpretation: Curated, evidence-based reports built on ACMG/AMP or CPIC frameworks, available as standalone interpretation of client-supplied variant data or as the final step of any sequencing service above. Ben Stansfield, PhD Director of Computational Biology, UGenome AI benstansfield@ugenome.io

919 W Rio Altar GREEN VALLEY, AZ, 85614 United StatesOverview We build and operate genomic data infrastructure. Partners engage us in two ways: license our bioinformatics pipelines and reporting stack under their own brand, or send us samples and data for end-to-end sequencing and analysis. We also offer standalone bioinformatics analysis per client request. 1. White-Label Bioinformatics Infrastructure Deployable, brand-agnostic bioinformatics infrastructure for organizations that need genomic analysis under their own name. We develop, validate, and hand off the pipeline layer, secondary and tertiary analysis, variant annotation, interpretation logic, and report generation, configured to your content, thresholds, and visual identity. Typical engagements: diagnostics companies scaling beyond a manual process, health platforms adding a genomics product line, labs with sequencing capacity but no analysis stack, and CROs needing a defensible interpretation layer. Includes pipeline development and validation, containerized deployment to your cloud or ours, custom report templating, and documentation to support your quality system. 2. Service listings Variant / Mutation Calling: Germline and somatic calling from WGS, WES, or targeted panels. SNV, indel, CNV, and SV detection with annotation, filtering, and tiered variant prioritization. Pharmacogenomics (PGx): Star-allele calling and diplotype assignment across core PGx genes, with CPIC/DPWG-aligned phenotype translation and drug-gene interaction summaries. HLA Typing: High-resolution HLA class I and II typing from NGS data, with allele-level resolution for transplant matching, immunogenicity, and neoantigen work. Nutrigenomics: Targeted panel or WGS-derived genotyping across nutrient metabolism, absorption, and response loci, delivered as structured genotype-phenotype output. Bulk RNA-Seq: Library prep through differential expression: QC, alignment, quantification, DE analysis, pathway/GSEA enrichment. Single-Cell RNA-Seq (scRNA-Seq): Cell capture through annotated clusters: QC, doublet removal, integration, clustering, cell-type annotation, and trajectory or differential abundance analysis on request. Clinical Reporting & Interpretation: Curated, evidence-based reports built on ACMG/AMP or CPIC frameworks, available as standalone interpretation of client-supplied variant data or as the final step of any sequencing service above. Ben Stansfield, PhD Director of Computational Biology, UGenome AI benstansfield@ugenome.io