AI-powered precision medicine
Tribro-Omics turns raw sequence into clinical answers — an end-to-end platform spanning sequencing, multi-omics integration and AI interpretation, from sample to signed report.
Our services
From sequencing to clinical interpretation — six service lines covering the full precision-medicine workflow.
Comprehensive genomic analysis providing complete DNA sequencing for clinical and research applications with the highest accuracy.
Advanced diagnostic testing for genetic disorders, rare diseases and personalized treatment recommendations.
State-of-the-art computational analysis and interpretation of genomic data using AI and machine learning.
Personalized drug-response prediction based on genetic makeup to optimize therapeutic outcomes.
Comprehensive tumor profiling and liquid-biopsy solutions for precision oncology applications.
Preconception screening, prenatal testing and newborn genetic screening services.
Our products
Modular, clinical-grade products for sequencing, interpretation and reporting.
Whole Genome Sequencing solution providing comprehensive genomic analysis with advanced variant detection and clinical interpretation.
Whole Exome Sequencing focusing on protein-coding regions for cost-effective diagnostic testing and rare-disease identification.
Targeted gene-panel testing for specific clinical conditions with focused analysis and rapid turnaround times.
Advanced variant analysis and interpretation platform using AI-powered algorithms for accurate clinical reporting.
RNA sequencing analysis for gene-expression profiling, transcript analysis and functional genomics research.
NEGATIVE report → Tribro-Omics POSITIVE report
We challenge ourselves and invite customers to share their negative reports and associated data — we will work to solve your case.
— Tribro-Omics team
Submit your case →End-to-end solution
Blood, tissue, FFPE or cfDNA accessioned & QC'd
NGS library prep and high-depth sequencing
Quality control and reference alignment
SNV, CNV and structural variant detection
Prioritization, ACMG classification, literature
Structured, reviewable report for sign-out
Inside the laboratory
Six stages, each with its own checks. Nothing moves to the next stage until the one before it passes.
Blood, saliva, tissue or extracted DNA arrives with its request form. Two identifiers on the tube are checked against the requisition, consent is confirmed and the condition on arrival is recorded. The sample is given its own barcode and its chain of custody starts.
DNA is extracted and measured for concentration, purity and yield. Libraries are prepared, indexed and pooled onto a flow cell. The same route carries whole-genome, whole-exome, gene panel and RNA sequencing.
Reads are aligned to the GRCh38 reference. Mean depth, the share of target bases at 20× or better, duplicate rate, contamination and sex concordance with the case record are all checked against the laboratory thresholds before anything is interpreted.
Single-nucleotide variants, small insertions and deletions are called and annotated with population frequency and ClinVar, then filtered to the genes the clinician ordered and to the phenotype recorded for the patient.
The patient’s HPO terms rank candidate genes and gene panels by how much of the phenotype each explains. Every shortlisted variant is then classified by a curator against the 28 ACMG/AMP criteria. The ranking supports the scientist; it never replaces them.
Result, interpretation, recommendations, methods and limitations are drafted from the shortlist, reviewed by a curator, then signed by the medical director with a password and an authenticator code. The released report is locked and carries a content fingerprint.
Illustrations rendered in Blender for Tribro-Omics. Every stage shown here is a step the laboratory system records, with its own operator, timestamp and quality decision.
Multi-omics platform
Eight omics layers — genome to proteome — are stacked and read together, each feeding a single AI knowledge engine that integrates the signals into one interpretation.
Query, filter and inspect clinical genomic and multi-omic variants across ACMG classification tiers, somatic oncogenes and population allele frequencies.
| Gene & locus | Protein impact | ACMG / AMP tier | gnomAD pop AF | Action |
|---|
Demonstration data. Ten curated example records, chosen to show the interface. Coordinates, transcripts and therapeutic context are drawn from public knowledge; in silico scores are illustrative. Verify every record against ClinVar and your own pipeline before any clinical use.
Inspect a synthetic clinical genomics and multi-omics pathology dossier: actionable somatic variants, RNA expression signatures, homologous recombination status and NCCN Category 1 therapeutic matches — or export the whole record.
Synthetic patient, synthetic results. Every identifier, date, signature and digest on this report is invented to demonstrate the format. It is not a laboratory record.
Inspect alignments, per-base coverage depth, splice junctions and curated ClinVar hotspots across a locus, with every track drawn live from the window you choose.
Synthetic alignments. Gene spans, exon structure for TP53 and every variant coordinate are real GRCh38 values; reads, coverage, splice counts and methylation are generated for the window you are viewing. The other three transcripts use a schematic exon model.
Disease areas
AI clinical intelligence
A knowledge-graph engine that prioritises variants, applies guidelines and drafts the clinical narrative.
Ranks candidate variants by pathogenicity, gene–phenotype fit and inheritance.
Applies ACMG/AMP criteria with transparent, evidence-linked scoring.
Matches phenotype terms to candidate genes to focus the search.
Surfaces supporting evidence from the published record at scale.
Connects molecular findings to existing and investigational therapies.
Drafts structured, reviewable reports for sign-out by clinical experts.
Why Tribro-Omics
| Capability | Typical provider | Tribro-Omics |
|---|---|---|
| Clinical genomics | Limited | Yes |
| AI interpretation | Limited | Yes |
| Multi-omics | Partial | Integrated |
| Single-cell | Limited | Yes |
| Proteogenomics | Rare | Yes |
| Rare disease | Limited | Yes |
| Precision oncology | Partial | Comprehensive |
Research output
Peer-reviewed work where Kumar, A. is first or senior (last) author. Titles link to Google Scholar. The complete bibliography is on the Published Articles page.
Nashier, Disha, Manjunath, Gowrang Kasaba, Parveen, Alisha, Malik, Sumira, Mitra, Tamoghna, Goswami, Chandan, Neerathilingam, Muniasamy, Watts, Ankit, Kumar, Abhishek
Kumar, Abhishek, Parveen, Alisha, Hansen, Frederik Teilfeldt, Sørensen, Jens Laurids, Bandapalli, Obul Reddy, Neerathilingam, Muniasamy, Prasad, Kumar Suranjit
Manjunath, Gowrang Kasaba, Nashier, Disha, Kumar, Abhishek
Beura, Abhijit, Dakal, Tikam Chand, Rajguru, Mangesh Sudhakar, Manjunath, Gowrang K, Mahalingam, Shweta, Kumar, Abhishek
Dakal, Tikam Chand, Beura, Abhijit, Kumar, Abhishek
Manjunath, Gowrang Kasaba, Kanchi, Lasya Priya, Dakal, Tikam Chand, Beura, Abhijit, Kumar, Abhishek
Dakal, Tikam C, Xu, Caiming, Kumar, Abhishek
Dakal, Tikam Chand, Philip, Reya Rene, Bhushan, Ravi, Sonar, Priyanka Vijay, Rajagopal, Senthilkumar, Kumar, Abhishek
Dakal, Tikam Chand, Thakur, Mony, George, Nancy, Singh, Tiratha Raj, Yadav, Vinod, Kumar, Abhishek
Dakal, Tikam Chand, Bhushan, Ravi, Dhakar, Ramgopal, Kumar, Abhishek
Dakal, Tikam Chand, Dhakar, Ramgopal, Bhushan, Ravi, Kumar, Abhishek
Beura, Abhijit, Manjunath, Gowrang Kasaba, Dakal, Tikam Chand, Kumar, Abhishek
Beura, Abhijit, Manjunath, Gowrang K, Mahalingam, Shweta, Rajguru, Mangesh Sudhakar, Dakal, Tikam Chand, Kumar, Abhishek
Kumar, Abhishek, Xu, Caiming, Dakal, Tikam Chand
Manjunath, Gowrang Kasaba, Verma, Rohit Kumar, Berua, Abhijit, Mahalingam, Shweta, Dakal, Tikam Chand, Kumar, Abhishek
Ranga, Vipin, Dakal, Tikam Chand, Maurya, Pawan Kumar, Johnson, Mark S, Sharma, Narendra Kumar, Kumar, Abhishek
Phenotype intelligence
Structured patient data collection with Human Phenotype Ontology (HPO) annotation: every finding is recorded as observed, coded to a versioned HPO term, and linked to genes, panels and variants for clinician review.
Registration, history, three-generation pedigree, 22 organ systems, examinations, laboratory and genomic results in one record.
Search 18,387 HPO terms by name, synonym or plain language. Present, excluded and suspected findings stay separate from missing data.
Phenotype-driven ranking of 5,125 genes and 200 gene panels. A candidate list for review, never a diagnosis.
Phenopacket, FHIR-mapped, TSV, CSV and PED exports with ontology version and provenance; de-identified research data sets.
Try the phenotype toolGene panelsForms and documentsReport templates
Submit a project
Tell us about your samples and goals. We'll scope turnaround, coverage and reporting and reply with a tailored plan.
Get in touch
Questions about diagnostics, collaboration or a quick scoping call — we reply within one business day.
For general enquiries, partnerships and clinical questions.