Validation Enhancement Layer · Front-End Tool for GLP

Multi-Omics Profiling
Sharpening Science Before the GLP Phase

Not a standalone service — a front-end tool that strengthens the GLP system. Through our deep partnership with SinoGenoMax (National Human Genome Center, North), multi-omics profiling surfaces the right targets and biomarkers up front, so the GLP phase answers focused questions under ICH guidelines.

Transcriptomics · Metagenomics · Methylation · Liquid biopsy Delivered with SinoGenoMax partnership Better hypotheses enter GLP

SinoGenoMax (National Human Genome Center, North) is part of the platform's drug-development chain. Multi-omic profiling is coordinated by the platform and delivered as a front-end enhancement to the GLP programme.

Target & biomarker discovery
Multi-omic profiling up front
Mechanistic context for GLP
Molecular evidence frames safety questions
Delivered with partner
SinoGenoMax capability in platform chain
Multi-omics front-end enhancement

Multi-omics: sharpening the science before the GLP phase

Through our deep partnership with SinoGenoMax (National Human Genome Center, North), multi-omics — transcriptomics, metagenomics, methylation and liquid-biopsy profiling — sharpens target and biomarker selection up front. Better-defined hypotheses enter the GLP phase, so fewer studies are wasted on the wrong question.

Target & biomarker discovery Multi-omic profiling surfaces candidate targets and biomarkers before costly preclinical work begins
Mechanistic context for GLP Molecular evidence frames the safety questions the GLP programme then answers under ICH guidelines
Delivered with our partner SinoGenoMax multi-omics capability is part of the platform's drug-development chain
Multi-Omics Service Scope
Transcriptomics profiling
RNA-seq, single-cell transcriptomics, spatial transcriptomics for target validation and MoA elucidation
Metagenomics & microbiome
Microbiome composition and functional analysis for immunomodulatory and metabolic disease targets
Methylation & epigenomics
DNA methylation profiling for biomarker discovery, patient stratification and resistance mechanisms
Liquid biopsy / ctDNA
Circulating tumor DNA and cfDNA profiling for minimal residual disease and response monitoring
Biomarker qualification
Analytical and clinical validation of candidate biomarkers for GLP/clinical study endpoints
Bioinformatics & data integration
Multi-omic data integration, pathway analysis, and cross-cohort meta-analysis pipelines
Service Process
01
Project assessment
Scientific question definition, sample strategy, omics platform selection
02
Sample preparation
Standardized collection, QC, and library preparation per omics modality
04
Report delivery
Integrated multi-omic report with target/biomarker candidates and mechanistic insights
05
GLP transition
Handoff to GLP programme with refined hypotheses and biomarker panel

SinoGenoMax: National Human Genome Center, North

The platform's multi-omics capability is delivered through a deep partnership with SinoGenoMax, the operating entity of the National Human Genome Center, North — a national-level genomics research infrastructure.

SinoGenoMax operates large-scale sequencing infrastructure, multi-omic analysis pipelines, and biobank resources at the national level. Through this partnership, the platform integrates transcriptomics, metagenomics, methylation profiling, and liquid-biopsy capabilities into the drug-development chain — all coordinated under one Seno.Bio contract.

National-level infrastructure
National Human Genome Center, North — major national genomics platform
Full omics stack
Transcriptomics, metagenomics, epigenomics, liquid biopsy
Biobank & cohort access
Large-scale patient cohorts for biomarker discovery and validation

You contract with Seno.Bio: one plan, one contract, one accountable partner. The multi-omics work is coordinated by the platform and delivered as part of the GLP front-end enhancement layer.

Start your multi-omics profiling project
Sharpen targets and biomarkers before the GLP phase — fewer wasted studies, better hypotheses
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