Multi-omics Data Analysis
Harness the combined power of genomics, transcriptomics, and proteomics with our integrated analysis pipelines.
+85%
Integrated projects identify multi-level correlations
>90%
Average read alignment rate to reference transcriptomes and genomes
+95%
High satisfaction with the relevance of results and the clarity of reports
Use Cases & Applications
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Biomarker discovery → Identify genes, proteins, or molecular signatures associated with a pathology or therapeutic response.
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Patient stratification / clustering → Group similar profiles based on transcriptomic, metabolomic, or clinical data.
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Mechanism-of-action analysis → Investigate signaling pathways altered by a treatment across multiple data layers.
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Longitudinal studies (pre/post-treatment) → Monitor the evolution of molecular profiles over time and identify relevant variations.
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Cross-validated multi-omics → Integrate transcriptome / proteome / metabolome results to strengthen conclusions.
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Predictive analytics with AI → Apply statistical or machine learning models to predict responses or subtypes.
Why Choose Our Multi-omics Data Analysis Solution?
✅ An integrated & scalable approach
✅ Cross-disciplinary expertise
✅ Clear & actionable deliverables
✅ Expert & personalized support
Advanced Data Analysis for Biomedical Research
Flexible expertise to meet all your analytical needs
GENXMAP offers tailored bioinformatics and biostatistics services, adapted to a wide variety of projects: genomics, transcriptomics, proteomics, clinical studies, preclinical modeling, translational research, and more. Whether you require a one-time analysis or full project support, our team helps you extract actionable insights from your data, with unwavering scientific rigor.
Flexible solutions, from targeted analysis to multi-omics approaches
Genxmap and its partners benefit from total flexibility in configuring their analyses:
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Independent analyses (e.g., transcriptome only)
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Combined approaches for an integrated view (e.g., transcriptomics + proteomics)
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Multi-omics integration for high-dimensional and high-impact studies
We provide robust analytical pipelines tailored to the objectives of each project: biomarker discovery, expression signatures, differential analysis, functional annotation, statistical modeling, and more.
A 360° vision through data integration and artificial intelligence
By combining data from different omics layers (RNA, proteins, DNA, etc.) and leveraging advanced artificial intelligence tools, GENXMAP enables a global and intelligent interpretation of biological phenomena. This systemic approach strengthens the discovery of meaningful correlations, functional networks, and predictive signatures that are highly relevant for research and therapeutic innovation.
Our All-in-One Packages
Predefined and optimized workflows...
Our Solutions, Your Project!
Genomic Analysis Package – Whole Genome Sequencing (WGS) / Whole Exome Sequencing (WES)
For the analysis of variants from DNA sequencing
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Applications: mutation study, genome or exome exploration, identification of pathogenic or pharmacogenetic variants.
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Content:
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FASTQ quality control
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Alignment to the reference genome
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Variant calling (SNVs, indels, CNVs, SVs)
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Functional annotation (ClinVar, gnomAD, COSMIC…)
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Variant visualization (IGV, circos)
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Deliverables: FASTQ, BAM/BAI, VCF, PDF report, key figures
Transcriptomic Analysis Package – Bulk RNA Sequencing
For the study of differential gene expression
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Applications: treatment response, identification of regulated genes, exploration of signaling pathways.
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Content:
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QC and read trimming
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Transcriptomic alignment or pseudo-alignment (STAR, Salmon)
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Counting & normalization (DESeq2 / EdgeR)
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Differential analysis
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Functional enrichment (GO / KEGG / Reactome)
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Visualizations (PCA, volcano plots, heatmaps)
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Deliverables: BAM/BAI files, expression tables, DEG results, figures & final report
Proteomic Analysis Package – Label-Free / Panel
For the study of protein variation across conditions
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Applications: functional pathway validation, post-translational exploration, RNA-seq complement.
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Content:
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Raw data QC (spectra / intensities)
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Normalization & filtering
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Differential analysis
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Pathway enrichment
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Visualization (bar plots, heatmaps, networks)
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Deliverables: normalized files, differential expression tables, figures & final report
Multi-Omics Analysis Package – Genome + Transcriptome Integration (or other)
To gain a 360° view of complex biological mechanisms
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Applications: robust signatures, inter-omics consistency, study of mechanisms of action or therapeutic response.
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Content:
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Pre-processing and harmonization of datasets
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Integration methods (MOFA, mixOmics, DIABLO…)
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Joint analysis and identification of cross-omics signatures
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Visualization of multi-level correlations
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Deliverables: analyzable objects, integrated matrices, figures & final report
Our solutions
Precise and advanced services, cutting-edge technologies, and reliable analyses.
Our rigorous approach ensures detailed results, essential for your scientific discoveries and clinical applications.