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Hold to speakPersonal genome apps, lab sequencing services and repeatable data analysis
AI recommends a product, checks inputs and helps complete project parameters
Hold to speakAnalyze existing FASTQ/BAM/VCF, or let a partner lab handle samples, sequencing and delivery.
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Convert FASTQ/BAM into a compact analysis-ready VCF
Explore population affinity across reference populations
Trace paternal haplogroup branches and migration context
Explore maternal haplogroup history through mtDNA
Combine optional family records with paternal-line evidence
Build a private, permissioned genetic family tree
Discover consented matches through shared DNA segments
Compare selected markers with published ancient samples
Personalized nutrition patterns from selected variants
Explore taste, caffeine, lactose and food-response traits
Understand selected nutrient-related genetic tendencies
Training signals from ACTN3, ACE and VO₂max models
Explore fitness response, recovery and injury-related traits
Explore pigmentation, sensitivity and aging-related traits
Explore genetic signals related to sleep and chronotype
A collection of observable, non-medical inherited traits
Explore selected non-diagnostic body-response traits
Turn wellness traits into practical daily considerations
Explore selected traits related to common exposures
Explore research-stage behavioral trait associations
Evidence library for clinician-guided risk conversations
Professional workflow for inherited-condition carrier findings
Evidence-linked pharmacogenomic review for professionals
Curated knowledge for inherited-risk conversations
Research and professional evidence for hereditary cancer
Professional typing workflow from compatible sequencing data
Organize genome-informed questions for a professional visit
Automated read QC, contamination checks and MultiQC summary
Quantify gene and transcript expression from RNA-seq
Compare experimental groups with reproducible RNA-seq statistics
Run GO, KEGG and GSEA with interactive visualizations
Quantify known and candidate small RNAs
Cell QC, clustering, markers and cell-type exploration
Explore spatial expression, domains and tissue context
Research-grade alignment, variant calling and QC
Profile research microbiome composition and pathways
Process supported methylation sequencing or array data
Research workflow for targeted expression and fusion candidates
Package a validated lab workflow as a repeatable Kepler app
Germline WGS from sample receipt through variant-ready research data.
Matched tumor and normal WGS for somatic research workflows.
Exome capture and germline research analysis for individuals or cohorts.
Tumor-only or matched tumor-normal exome research analysis.
Population-scale resequencing, variant discovery and annotation.
Hybrid or long-read assembly, polishing and genome assessment.
Whole-genome sequencing for bacterial and fungal isolates.
Long-read WGS for structural variation, phasing and complex regions.
Targeted long-read sequencing of selected genomic regions.
Custom or fixed content capture panels for focused research.
High-depth sequencing of custom DNA amplicons.
Population structure, selection, migration and demographic history.
Genotype QC, imputation and association testing for research cohorts.
Linkage map construction for breeding and trait studies.
Bulked segregant and quantitative trait locus analysis.
Research detection and annotation of CNVs and structural variants.
Mitochondrial enrichment, variant analysis and haplogroup-ready output.
Annotate and prioritize research variants with versioned databases.
Research prediction of candidate variant effects on RNA splicing.
Combined DNA variants, RNA fusions and expression from tumor samples.
Genomic instability and homologous recombination research metrics.
Low-frequency variant research from plasma cell-free DNA.
Research analysis of inherited cancer-predisposition genes.
Focused BRCA1/2 SNV, indel and CNV research workflow.
DNA/RNA research panel for myeloid-associated alterations.
Focused research of variants associated with myeloproliferative neoplasms.
DNA/RNA panel analysis for pediatric cancer research cohorts.
High-depth analysis of recurrent cancer-associated hotspots.
Broad multi-tumor DNA/RNA research profiling.
QC-aware tumor analysis designed for FFPE-derived nucleic acids.
Multi-gene liquid-biopsy research with low-frequency calling.
Focused tissue-panel research for common actionable alterations.
Build a reusable normal baseline for panel-based CNV research.
Reference-guided gene and transcript analysis for eukaryotic samples.
Transcript assembly and annotation when no suitable reference exists.
Strand-aware bacterial or archaeal expression analysis.
Coding and long non-coding transcript discovery and comparison.
Circular RNA discovery, quantification and host-gene context.
Joint mRNA, lncRNA, circRNA and small-RNA research package.
Isoform discovery, alternative transcripts and annotation improvement.
Strand-specific coding and non-coding RNA profiling.
Capture-based transcript analysis for degraded or low-input RNA.
Focused expression measurement for a defined gene panel.
Targeted immune-response expression profiling for research studies.
Detect and compare exon usage and transcript-splicing events.
Nucleus-level expression analysis for frozen or difficult tissues.
Chromatin accessibility, clustering and regulatory element analysis.
Joint chromatin accessibility and gene expression in matched cells.
Paired TCR/BCR clonotype and cell-state analysis.
Joint antibody-derived tag and transcriptome analysis.
Spatial gene-expression mapping with histology alignment.
Probe-based spatial profiling for FFPE tissue sections.
High-density spatial expression and tissue-domain analysis.
Integrated spatial RNA and protein-marker analysis.
Map single-cell states into tissue coordinates and morphology.
Pseudotime, lineage and ligand–receptor research analysis.
Community diversity and taxonomic profiling from marker genes.
Higher-resolution taxonomic profiling with full-length amplicons.
Combine sequencing and spike-in controls for absolute abundance.
Species, genes and pathways from untargeted microbial DNA.
Research profiling of host-associated microbial communities.
Community and functional analysis for soil, water and other environments.
Assembly, binning, quality assessment and genome annotation.
Research detection and context analysis of resistance genes.
Active microbial genes and pathway expression in communities.
Viral community discovery, annotation and diversity research.
Host-depleted microbial enrichment and DRAGEN-based analysis.
Consensus genomes, lineages and surveillance-ready outputs.
Amplicon QC, consensus sequence and lineage research analysis.
Whole-genome amplicon analysis for influenza surveillance research.
Targeted respiratory pathogen identification and AMR-marker research.
Research identification of urinary pathogens and resistance markers.
Pan-genome, phylogeny, virulence and resistance comparison.
Genome-wide cytosine methylation analysis at base resolution.
High-depth methylation analysis of selected regulatory regions.
Joint genetic and methylation information from a single workflow.
Protein–DNA binding and histone-mark enrichment analysis.
Open-chromatin peaks, motifs and differential accessibility.
Array QC, normalization, cell composition and differential methylation.
Genotype calling, sample QC, ancestry-ready and imputation-ready output.
Research star-allele calling from compatible pharmacogenomic arrays.
Research CNV, LOH and chromosomal pattern analysis.
Versioned polygenic score calculation for approved research cohorts.
Joint canonical-base and modified-cytosine analysis from one library.
Group comparison of methylation sites, regions and pathways.
High-plex serum or plasma protein quantification and QC.
Targeted high-plex protein quantification for research cohorts.
Data-independent acquisition protein identification and quantification.
High-depth, high-throughput DIA proteome analysis.
Depletion-aware serum or plasma proteome profiling.
Isobaric-label multiplex protein quantification.
Label-free protein identification, quantification and comparison.
Phosphopeptide enrichment, site localization and pathway analysis.
Research analysis of selected post-translational modifications.
Community protein identification and functional profiling.
PRM/SRM quantification of selected proteins or peptides.
Broad metabolite feature detection, annotation and statistics.
Volatile and derivatized metabolite profiling by GC-MS.
Absolute or relative quantification of a defined metabolite panel.
Lipid species identification, quantification and pathway analysis.
Plant-focused extraction, annotation and differential metabolite analysis.
Headspace volatile compound profiling and comparison.
Compound profiling and group comparison for natural-product research.
Tissue-coordinate metabolite imaging and region comparison.
Large-panel metabolite detection with standardized annotation.
Integrate RNA expression and protein abundance across matched samples.
Link gene-expression changes with metabolites and pathways.
Connect protein modules with differential metabolites.
Associate microbial taxa and functions with metabolite profiles.
Study microbial features together with host gene expression.
Three-layer molecular integration for matched research samples.
Integrate community, host expression and metabolic phenotype.
Mediation, Mendelian-randomization-ready and causal-network research.