Hear from researchers using Om™ to accelerate discovery, unify analysis, and move from raw data to publication-ready insight.
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"Your testimonial will appear here. Describe how Om™ helped your team move from metabolomics data to pathway-level biological insight faster and with more confidence."
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"Your testimonial will appear here. Share how Om™ simplified lipid class profiling, acyl-chain interpretation, or publication-ready lipidomics reporting."
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"Your testimonial will appear here. Highlight how Om™ made differential expression, enrichment, and biological interpretation accessible to your research team."
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"Your testimonial will appear here. Describe how Om™ supported cell-state discovery, annotation, clustering, or single-cell interpretation without fragmented tools."
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"Your testimonial will appear here. Explain how Om™ helped connect signals across molecular layers into one coherent biological story."
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"Your testimonial will appear here. Share how Om™ accelerated biomarker discovery, ROC analysis, feature ranking, or clinical cohort interpretation."
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"Your testimonial will appear here. Describe how OmVitalis Academy helped your students or team build practical confidence in omics analysis."
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"Your testimonial will appear here. Share how OmVitalis helped shape your study design, analysis strategy, biological interpretation, or publication plan."
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"Your testimonial will appear here. Describe how Om™ helped your team move from metabolomics data to pathway-level biological insight faster and with more confidence."
starstarstarstarstar
"Your testimonial will appear here. Share how Om™ simplified lipid class profiling, acyl-chain interpretation, or publication-ready lipidomics reporting."
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"Your testimonial will appear here. Highlight how Om™ made differential expression, enrichment, and biological interpretation accessible to your research team."
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"Your testimonial will appear here. Describe how Om™ supported cell-state discovery, annotation, clustering, or single-cell interpretation without fragmented tools."
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"Your testimonial will appear here. Explain how Om™ helped connect signals across molecular layers into one coherent biological story."
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"Your testimonial will appear here. Share how Om™ accelerated biomarker discovery, ROC analysis, feature ranking, or clinical cohort interpretation."
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"Your testimonial will appear here. Describe how OmVitalis Academy helped your students or team build practical confidence in omics analysis."
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"Your testimonial will appear here. Share how OmVitalis helped shape your study design, analysis strategy, biological interpretation, or publication plan."
Why researchers choose OmVitalis
Science held back by broken tools
Multi-omics biology is fragmented across dozens of disconnected tools, command-line pipelines, and incompatible formats. We built Om™ to end that.
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Fragmented Pipelines
Researchers juggle 8–12 separate tools per experiment — each requiring different file formats, expertise, and setup time.
Solved
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Coding Barriers
Expert-level analyses require R/Python expertise that bench scientists and clinicians don't have — blocking biological insight.
Solved
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Data Security Risk
Cloud platforms require uploading sensitive patient data — creating HIPAA compliance risk and data residency concerns.
Solved
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Limited Exploration
Static pipelines prevent hypothesis-driven exploration. Causal reasoning and cross-omics integration are out of reach.
Every output explained · Step-by-step tutorials · Built to teach, not just compute
Join thousands of researchers
Your next paper is one session away. Let's start.
Join research institutions, biotech teams, and pharmaceutical organizations using Om™ to accelerate discovery.
OmVitalis Systems · Platform Portfolio
Computational systems for every omics frontier
Privacy by design. Researchers and institutions remain in full control of their data, with storage, retention, and sharing governed entirely by their own policies and preferences.
Platform I · Live
Om™
Unified Multi-Omics Platform
The world's only privacy-first multi-omics operating system. 14 interconnected pipelines spanning metabolomics, lipidomics, transcriptomics, proteomics, single-cell, metagenomics, causal inference, and QTL analysis — zero code, zero data upload.
Researcher-nativeLive & Available14 Pipelines
Platform II · In Development
SpatialOm™
Spatial Omics Intelligence
The next frontier in tissue-resolved biology. SpatialOm™ integrates spatial transcriptomics, spatial metabolomics, and spatial proteomics into a unified analytical environment — revealing the molecular geography of disease with unprecedented resolution.
Spatial TranscriptomicsTissue-ResolvedComing Soon
Platform III · In Development
PrecisionOm™
Precision Genomics Platform
From variant calling to pharmacogenomics. PrecisionOm™ translates genomic complexity into clinical and research utility — GWAS, polygenic risk scoring, variant interpretation, and population-level genomics, purpose-built for the GCC's unique genetic landscape.
GWAS & PRSVariant InterpretationComing Soon
Platform IV · In Development
OmniOm™
Cross-Omics Concordance & Temporal Engine
Biology changes over time — OmniOm™ captures it. A proprietary engine for cross-omics concordance analysis and temporal decoupling, revealing how molecular layers diverge, converge, and drive each other across time, treatment, or disease progression.
Temporal AnalysisCross-OmicsComing Soon
biotech
Platform I
Om™
One entry. Every layer.
The Multi-Omics Operating System
The Om Platform is a modern researcher-native omics workspace, fully integrated, end-to-end omics pipelines from preprocessing to causal discovery. No code, no fragmentation, no compromise.
Each workflow is purpose-built for its omics layer, fully integrated with the Om™ unified analysis engine. Click any workflow to explore its complete pipeline and real outputs.
science
Metabolomics
Metabolite Discovery & Pathway Analysis · Raw data to biological insight · HMDB · KEGG · AI preprocessing
“The name OmVitalis reflects our scientific vision. ‘Om’ represents omics and omni-scale integration, while ‘Vitalis’, Latin for ‘of life’, embodies our dedication to understanding biology across every molecular layer. Together, they symbolize our mission to transform the complexity of life into meaningful scientific, institutional, and clinical impact. Omni Insights from the Omics of Life.”
Why OmVitalis Exists
OmVitalis Systems was founded on a single conviction: the most powerful computational biology tools should not be locked behind years of bioinformatics training, fragmented software ecosystems, or inaccessible codebases.
We build platforms that bring the full power of multi-omics science (metabolomics, lipidomics, transcriptomics, proteomics, metagenomics, single-cell, causal inference, and more) into a cohesive researcher-native omics workspace for single- and multi-omics discovery.
Our platforms serve academic researchers, biotechnology companies, pharmaceutical teams, and clinical research institutions — providing the same expert-level capabilities previously requiring a dedicated bioinformatics team.
Expert rigor
Gold-standard statistics, deterministic workflows, and publication-ready outputs.
Accessible science
A privacy-first experience designed for all researchers, not only coders.
The OmVitalis Ecosystem
Three pillars. One mission.
OmVitalis is structured around three complementary branches — each addressing a distinct need in the journey from raw data to real-world impact.
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Branch I · Active
OmVitalis Systems
The technology arm. Privacy-first computational platforms that transform how researchers interact with multi-omics data — no code, no barriers, no compromise on rigor.
📍 Smart Station, Masdar City Free Zone, Abu Dhabi, UAE · Lic. MC 14685
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Branch II
OmVitalis Academy
The education arm. Structured training programmes, workshops, and certification pathways in multi-omics data science — equipping the next generation of computational biologists with tools and critical scientific thinking.
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Branch III
OmVitalis Consultancy
The expertise arm. End-to-end multi-omics study design, analysis, and interpretation for research institutions, hospitals, and biotechnology companies — bringing Nature Metabolism-level rigour to your research questions.
Om™ Platform · 15 Capabilities
What researchers get with Om™
Every capability below eliminates a real frustration in omics science.
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Flagship
True Multi-Omics Integration
"Finally, biology without borders."
Connect up to 5 omics layers — chord diagrams, Sankey maps, integrated heatmaps, co-abundance modules. Not superficial correlation. True cross-layer integration.
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Flagship
Full Single Cell Transcriptomics
"From raw counts to cell identities — no R required."
UMAP, Leiden clustering, CellTypist annotation, RNA velocity, CellChat — complete scRNA-seq with full multi-omics integration. All GUI-driven.
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Flagship
Full Proteomics Package
"Olink NPX to biological insight, end-to-end."
LOD filtering, Limma EB, PPI networks, drug target annotation, pQTL analysis — complete proteomics, one platform.
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Unfragmented End-to-End Pipelines
"Upload once. Discover everything."
One data entry point — preprocessing, QC, stats, enrichment, integration, causal inference. No re-importing, no format conversion. Ever.
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Unique
Predictive Analysis & Disease Association
"From markers to mechanisms — before the lab."
ROC curves, AUC scoring, cross-validated feature importance, logistic regression, and survival analysis across omics layers.
mQTL, lQTL, eQTL, pQTL — Manhattan plots, locus browser with LD heatmaps, cross-QTL concordance.
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Unique
Publication-Grade Statistical Rigor
"The same methods reviewers expect."
Limma EB, FDR/Bonferroni/permutation, mixed linear models, DESeq2-style modeling — no statistical compromises.
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Full Advanced Clinical Module
"Research-grade analysis built for clinical reality."
Bridge the gap between omics research and clinical application — longitudinal cohort analysis, clinical variable integration, patient stratification, and disease subtyping with omics-informed clinical decision support.
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Unique
Multi-Database Pathway Enrichment
"Scientists never lose a signal."
Simultaneous KEGG, HMDB, LIPID MAPS, Reactome, MSigDB, GO — consensus table, overlap networks. If a pathway is significant, Om™ finds it.
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AI-Powered Analysis Advisor
"Your personal bioinformatics collaborator."
Intelligent preprocessing recommendations + AI publication writer — generates journal-ready methods and results sections, saving 20–40 hours per manuscript.
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New
Step-by-Step Scientific Guidance
"Know what you're doing — and why."
Every step, every test: rationale, assumptions, full citations — building critical thinking and scientific literacy as you analyse.
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Publication-Ready Figures
"Journal-ready. One click."
PCA, volcano, heatmaps, networks, Manhattan, trajectory — fully customisable with SVG/PNG export sized for submission.
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User-Friendly Interface
"Built for scientists, not programmers."
Intuitive workflow navigation, interactive figure customisation, drag-and-drop data entry, and contextual guidance. Expert analysis, zero training required.
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Zero-Retention Architecture
"Your data stays yours. Technically guaranteed."
All computation happens within your chosen research environment. Raw data matrices never reach a server — not by policy, by architecture. HIPAA-conscious by design.
groupsOmVitalis Consultancy
Expert Omics Consulting. From Study Design to Discovery.
OmVitalis Consultancy delivers expert-led scientific advisory across the full omics research lifecycle — from study design and data generation strategy through to multi-omics integration, biological interpretation, and publication-ready reporting.
Our Philosophy
"OmVitalis builds multi-omics intelligence platforms that help organizations integrate, analyze, and interpret complex biological data. Through a unified computational platform, expert consulting, and structured training, we transform raw omics data into actionable insight that accelerates research, innovation, and translational impact."
The Team
Scientific Consultants
Led by peer-reviewed scientists with international academic training across integrative omics and translational research.
Wael Abdrabou
Founder & CEO - Computational Omics Platform Architect
PhD, Systems Biology — NYU
Architect of the OmVitalis computational platforms and omics suites. Specializes in integrative metabolomics, multi-omics data interpretation, and translating complex omics datasets into actionable biological insight across infectious disease, cancer biology, cardiovascular research, and longevity science.
PhD, Genomics & Transcriptomics — HBKU, Qatar Foundation
Expert in genomics and bioinformatics with a strong focus on gene regulation, genomic interpretation, and computational biology in complex disease research. Strengthens OmVitalis genomic and transcriptomics consulting capabilities across multi-layered biological interpretation projects.
PhD, Genetics, Immunology & Cancer — Medical University of Vienna
Specialist in single-cell transcriptomics and immuno-genomics with expertise in high-resolution gene expression profiling and immune response variation. Contributes advanced capabilities in single-cell analysis, transcriptomic integration, and immune pathway interpretation.
schoolAcademic Research Groupslocal_hospitalClinical & Translational Research TeamsbiotechBiotech & Pharma R&Dhealth_and_safetyLongevity & Precision Medicine ProgramslightbulbInnovation Hubs & Science Parkscorporate_fareGovernment Research Institutions
What We Offer
Expert Advisory Across the Full Research Lifecycle
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Study Design & Scientific Strategy
Define research objectives, select appropriate omics layers, establish power, sample requirements, and analytical scope aligned with your scientific goals.
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Multi-Omics Data Integration
True cross-omics integration across genomics, transcriptomics, proteomics, metabolomics, lipidomics, and metagenomics — revealing system-level biological signals.
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Biological Interpretation & Pathway Analysis
Expert-guided translation of omics outputs into pathway-level insight, mechanistic understanding, and clinically relevant biological narratives.
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Biomarker Discovery & Causal Inference
Multi-omics biomarker panel construction, ROC analysis, causal inference modeling, and Mendelian Randomization for rigorous translational evidence.
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Publication & Grant Support
Publication-ready figure generation, statistical reporting, methods writing, and grant application scientific strategy aligned with high-impact journals.
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Institutional R&D Advisory
Strategic advisory for research institutions, biotech, and innovation programs seeking to build or scale omics research infrastructure and analytical capacity.
Ready to Transform Your Omics Data into Insight?
OmVitalis Consultancy provides scientific consulting and advisory services. We do not provide clinical diagnostic or medical treatment services.
schoolOmVitalis Academy
Expert Omics Training. Built for Real Research.
OmVitalis Academy delivers rigorous, hands-on omics training programs — from foundational bioinformatics to advanced multi-omics interpretation — designed for researchers, clinicians, and institutional teams working at the frontier of life sciences.
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Live & In-Person
Instructor-led sessions with real-time interaction and Q&A
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Hands-On
Real validated datasets, practical exercises, reproducible workflows
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Expert-Led
PhD scientists with peer-reviewed publications in omics research
Omics Domains Covered
Full Single Omics Suites · True Multi-Omics Integration
Intensive hands-on training covering a specific omics domain. Ideal for research teams seeking focused, practical upskilling.
Format 02
Bootcamps · 5–10 Days
Deep immersion programs with structured daily sessions, practical exercises, and real dataset case studies across multiple omics layers.
Format 03
Certificate Programs · 4–8 Weeks
Multi-session structured programs with assignments, deliverables, and certificates of completion aligned with professional development needs.
Format 04
Custom Institutional Programs
Fully tailored programs designed around your datasets, workflows, team composition, and institutional research priorities. Online or in-person.
Program Catalog
Available Training Programs
01
Integrative Multi-Omics Interpretation Bootcamp
Connect biological signals across genomics, transcriptomics, proteomics, metabolomics, lipidomics, and epigenetics to build interpretable biological narratives and biomarker discovery pipelines.
02
Applied Metabolomics & Lipidomics Analysis
Metabolomics interpretation from preprocessing to pathway insight, including lipid class profiling, acyl-chain analysis, and biomarker discovery workflows.
03
Bioinformatics Foundations for Omics Research
Structured introduction to bioinformatics pipelines and computational workflows required for modern single and multi-omics projects — no coding prerequisites required.
04
Applied Biostatistics for Life Sciences
Practical statistics program designed specifically for biological and omics datasets — covering study design, hypothesis testing, and gold-standard statistical rigor.
05
Single-Cell Transcriptomics & Immune Profiling
Specialized program in single-cell transcriptomics interpretation, immune profiling, cell-state discovery, trajectory inference, and RNA velocity analysis.
06
Grant & Publication Strategy for Omics Projects
Strategy-focused training to help teams build fundable, publishable omics projects — from methods writing and figure standards to journal targeting and grant narrative design.
07
Proteomics: From Data Analysis to Clinical Discovery
Microbiome training from raw reads to taxonomy, diversity, functional profiling, differential abundance, and host-microbiome interpretation.
09
Whole Genome Sequencing to Clinical Applications
Variant analysis, annotation, prioritization, clinical phenotype integration, reporting logic, and responsible interpretation of WGS datasets.
10
Bulk Transcriptomics: mRNA, lncRNA and miRNA Pipelines
End-to-end RNA-seq training with specialized mRNA, lncRNA, and miRNA workflows, differential expression, enrichment, and regulatory interpretation.
11
Clinical Biomarker Discovery and Predictive Modeling
ROC/AUC, feature selection, cross-validation, survival analysis, model interpretability, and biomarker panels for translational research.
12
Causal Inference and Multi-Omics Mechanistic Discovery
DAG thinking, mediation analysis, Mendelian randomization concepts, causal diagrams, and mechanistic interpretation across omics layers.
Conference Partnerships
Events & Scientific Conferences
OmVitalis partners with regional and international conferences to deliver expert-led omics workshops, hands-on training sessions, and scientific presentations. We welcome collaboration with conference organizers, scientific societies, and academic institutions.
Build Your Team's Omics Capability
Tell us about your institution and training needs — OmVitalis Academy will prepare a tailored proposal including modules, duration, delivery format, and learning outcomes.
Get in Touch
Let's talk about your research.
Whether evaluating a license, planning a deployment, or curious about Om™'s capabilities — we respond within 1 business day.
Access Om™'s core Single and Integrative Multi-Omics workflows with sample datasets — no commitment required.
Request a Live Demo or License
Academic requests receive priority review. We respond within 1 business day.
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water_dropLipidomics Pipeline
Full High-Resolution Lipidomics Pipeline
From raw LC-MS/MS data to structural insight — lipid class profiling, acyl-chain enrichment, pathway enrichment across KEGG, HMDB, and LIPID MAPS, with direct integration into genomics (lQTL) and multi-omics analysis.
Step-by-step video guides for every stage of the lipidomics workflow in Om™. New tutorials added regularly.
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12:34New
Getting Started with Lipidomics
Complete walkthrough from data upload to first results — QC, normalization, and differential analysis
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play_lessonTutorial
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18:20New
Lipidomics — Statistical Analysis Deep Dive
Differential analysis, acyl-chain enrichment, structural trends, and covariate adjustment explained
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play_lessonTutorial
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15:45Coming Soon
Interpreting Lipidomics Pathway Enrichment
Understanding PAS scores, multi-database Manhattan plots, bubble plots, and overlap networks
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play_lessonTutorial
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More tutorials are being recorded and will be available shortly. Start exploring Om™ to follow along.
Pipeline Capabilities
Complete Lipidomics from raw data to insight
01
Data Entry & QC
LC-MS/MS raw lipid data import. Automated lipid class parsing, species-level annotation, LOD filtering, and QC dashboard.
02
Normalization & Covariate Adjustment
IQR normalization, log₂ transformation, and mixed linear modeling for covariate adjustment across clinical and technical covariates.
03
Differential Lipid Analysis
Class-level and species-level differential analysis with volcano plots, heatmaps, and box/violin plots with significance brackets.
04
Structural & Acyl-Chain Analysis
Unique acyl-chain enrichment panel — chain length, saturation, and double bond position analytics. Mean value comparisons by directionality.
05
Pathway Enrichment
Quantitative pathway enrichment across KEGG, HMDB, and LIPID MAPS simultaneously. Multi-DB Manhattan view, consensus table, and overlap networks.
06
Correlation & Phenotypic Associations
Lipid–lipid, lipid–phenotype, and phenotype–phenotype pairwise correlations with batch screening across all phenotypes.
07
lQTL & Multi-Omics Integration
Lipidomics QTL analysis linking genetic variants to lipid abundance. Full integration with genomics, transcriptomics, and metabolomics layers.
Lipidomics Flow
LC-MS/MS Import · Class Parsing · QC
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Normalization · Covariate Adjustment (MLM)
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Differential Analysis · Volcano · Heatmap
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Structural Trends · Acyl-Chain Enrichment
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Pathway Enrichment (KEGG · HMDB · LIPID MAPS)
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Correlation Analysis · Phenotypic Associations
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lQTL · Multi-Omics Integration
science
scienceMetabolomics Pipeline
Full Metabolomics Discovery Pipeline
Comprehensive metabolomics analysis from raw peak tables or public datasets — from metabolite annotation through pathway enrichment, phenotypic correlations, causal inference, and mQTL integration. Supports untargeted and targeted LC-MS profiles.
Step-by-step video guides for every stage of the metabolomics workflow in Om™. New tutorials added regularly.
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12:34New
Getting Started with Metabolomics
Complete walkthrough from data upload to first results
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play_lessonTutorial
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18:20New
Metabolomics — Statistical Analysis Deep Dive
Differential analysis, normalization, and covariate adjustment explained
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play_lessonTutorial
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15:45Coming Soon
Interpreting Metabolomics Pathway Enrichment
Understanding PAS scores, bubble plots, and multi-database results
schedule15:45
play_lessonTutorial
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More tutorials are being recorded and will be available shortly. Start exploring Om™ to follow along.
Pipeline Capabilities
Complete Metabolomics from raw data to biological insight
01
Data Entry & QC
Raw peak table upload or direct import from MetaboLights and Metabolomics Workbench. Smart preprocessing sequence recommendations based on data structure and type.
02
Preprocessing & Normalization
LOD/2 imputation, log₂ transformation, median normalization, and Pareto scaling. Mixed linear modeling for covariate adjustment including batch effects.
03
Unsupervised & Supervised Analysis
PCA with density overlays and confidence ellipses, k-means clustering, hierarchical heatmaps, and differential abundance analysis with volcano plots.
04
Metabolite Annotation
Multi-library annotation with MSI scoring (levels 1–4). HMDB, KEGG, MetaboLights, LipidMaps, and custom spectral library support.
05
Pathway Enrichment
Quantitative pathway activity scoring (PAS) and functional ORA across KEGG, HMDB, and Reactome. Multi-DB Manhattan and bubble plots.
06
Correlations & Phenotypic Associations
Metabolite–metabolite, metabolite–phenotype, and full phenotypic correlation matrices. Batch multi-phenotype screening.
07
mQTL & Multi-Omics
Metabolomics QTL analysis. Cross-omics integration with lipidomics, transcriptomics, and proteomics. Causal inference pipeline integration.
Metabolomics Flow
Raw Data / MetaboLights Import · AI QC Advisor
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Imputation · Normalization · Covariate Adjustment
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PCA · Clustering · Differential Abundance
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Metabolite Annotation (MSI 1–4)
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Pathway Enrichment (KEGG · HMDB · Reactome)
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Correlation Matrix · Phenotypic Associations
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mQTL · Causal Inference & Biomarker Analysis
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geneticsTranscriptomics Pipeline
Full Transcriptomics Pipeline — RNAseq · lncRNA · miRNA
End-to-end bulk transcriptomics from raw count matrices — with dedicated biotype-specific workflows for lncRNA and miRNA, publication-standard differential expression, and pathway enrichment across KEGG, GO, Reactome, and MSigDB. Integrates directly with eQTL and multi-omics analysis.
Step-by-step video guides for every stage of the transcriptomics workflow in Om™. New tutorials added regularly.
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12:34New
Getting Started with Transcriptomics
Complete walkthrough from data upload to first results
schedule12:34
play_lessonTutorial
play_arrow
18:20New
Transcriptomics — Statistical Analysis Deep Dive
Differential analysis, normalization, and covariate adjustment explained
schedule18:20
play_lessonTutorial
play_arrow
15:45Coming Soon
Interpreting Transcriptomics Pathway Enrichment
Understanding PAS scores, bubble plots, and multi-database results
schedule15:45
play_lessonTutorial
info
More tutorials are being recorded and will be available shortly. Start exploring Om™ to follow along.
Pipeline Capabilities
Complete Transcriptomics three biotype tracks, one platform
01
Raw Count Entry & QC
Bulk RNA-seq, lncRNA, and miRNA raw count matrices. Automated QC, library size assessment, and sample filtering.
02
Normalization & Adjustment
TMM, CPM, or voom normalization. Mixed linear modeling for covariate adjustment including batch, sex, and clinical variables.
03
Differential Expression
Limma empirical Bayes and DESeq2-style modeling. Volcano plots, MA plots, expression heatmaps, and ranked gene lists.
04
Biotype-Specific Workflows
Dedicated lncRNA co-expression networks and target prediction. miRNA regulatory module analysis and target gene enrichment.
05
Pathway Enrichment
GSEA, ORA, and quantitative pathway activity across MSigDB Hallmark, GO (BP/MF/CC), KEGG, and Reactome. Gene set browser and enrichment dot plots.
06
eQTL & Multi-Omics Integration
Expression QTL analysis linking genetic variants to gene expression. Cross-omics Sankey dysregulation maps integrating metabolomics and proteomics.
Transcriptomics Flow
Raw Counts · RNAseq / lncRNA / miRNA
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Normalization · Covariate Adjustment
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Differential Expression · Volcano · Heatmap
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lncRNA · miRNA Biotype Workflows
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GSEA · ORA · MSigDB · GO · KEGG · Reactome
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eQTL · Cross-Omics Integration
biotech
biotechProteomics Pipeline
Full Olink Proteomics Pipeline
End-to-end Olink NPX proteomics — from format validation and LOD filtering through Limma EB differential analysis, protein network biology, drug target annotation, and pQTL integration with full cross-omics connectivity.
Step-by-step video guides for every stage of the metagenomics workflow in Om™. New tutorials added regularly.
play_circleGetting Started with Metagenomics...
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12:34New
Getting Started with Metagenomics
Complete walkthrough from data upload to first results
schedule12:34
play_lessonTutorial
play_circleMetagenomics — Statistical Analysis...
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18:20New
Metagenomics — Statistical Analysis Deep Dive
Differential analysis, normalization, and covariate adjustment explained
schedule18:20
play_lessonTutorial
play_circleInterpreting Metagenomics Pathway E...
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15:45Coming Soon
Interpreting Metagenomics Pathway Enrichment
Understanding PAS scores, bubble plots, and multi-database results
schedule15:45
play_lessonTutorial
info
More tutorials are being recorded and will be available shortly. Start exploring Om™ to follow along.
Pipeline Capabilities
Complete Metagenomics from sequencing to host integration
01
Amplicon & Shotgun Input
16S rRNA (V3–V4) and whole-genome shotgun data. ASV-based taxonomic profiling with DADA2 and QIIME2 output compatibility.
02
Taxonomic Profiling & Visualization
Phylum-to-species taxonomy bar charts, relative abundance heatmaps, and rarefaction curves for sequencing depth assessment.
03
Alpha & Beta Diversity
Shannon, Simpson, Chao1, and ACE alpha diversity. Bray-Curtis and UniFrac beta diversity with PERMANOVA group significance testing.
04
Differential Abundance
LEfSe and ANCOM-BC for differentially abundant taxa. Cladogram visualization with LDA scores and effect size plots.
05
Functional Profiling
HUMANn3 metabolic pathway reconstruction, ARG resistome profiling and classification, KEGG functional annotation for shotgun metagenomics.
06
Multi-Omics Integration
Microbiome integration with host metabolomics, transcriptomics, and genomics. Cross-omics correlation networks and mediation analysis.
Metagenomics Flow
16S rRNA / Shotgun Input
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DADA2 · ASV/OTU Taxonomic Profiling
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Alpha & Beta Diversity · PERMANOVA
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LEfSe · ANCOM-BC · Cladogram
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HUMANn3 · ARG Resistome · KEGG
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Multi-Omics Integration · Host Genomics
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hubMulti-Omics Integration
True Multi-Omics Integration Pipeline
Connect up to 5 omics layers in a single session — cross-omics correlation networks, chord diagrams, dysregulation Sankey flow maps, integrated heatmaps, co-abundance modules, and multi-omics biomarker discovery with ROC analysis.
Full cross-omics pairwise correlation table with clickable scatter plots per feature pair. Filterable by omics type, direction, and significance.
05
Modules & Co-Abundance Trends
Multi-omics co-abundance module detection and trend analysis. Module enrichment across biological pathways.
06
Multi-Omics Biomarker Discovery
Multi-omics biomarker panel construction with logistic regression, ROC curve analysis (AUC), cross-validated feature importance, and survival analysis.
Multi-Omics Flow
Cross-Omics Data Linking (up to 5 layers)
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Chord Diagram · Network Graph
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Dysregulation Sankey · Integrated Heatmap
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Correlation Table · Feature Scatter Plots
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Modules & Co-Abundance Trends
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Biomarker Discovery · ROC · Feature Importance
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conversion_pathGenomics · QTL Analysis
Full Cross-Omics QTL Analysis Pipeline
The only privacy-first platform offering all four integrative QTL types — mQTL, lQTL, eQTL, and pQTL — with genome-wide Manhattan plots, interactive locus browser with LD heatmaps, cross-omics QTL concordance, and GWAS integration (coming soon).
Understanding PAS scores, bubble plots, and multi-database results
schedule15:45
play_lessonTutorial
info
More tutorials are being recorded and will be available shortly. Start exploring Om™ to follow along.
Pipeline Capabilities
All Four QTL Types in one unified interface
mQTL — Metabolomics
Links genetic variants to metabolite abundance. Identifies metabolite-specific genetic loci and enables causal inference between SNPs and metabolic phenotypes.
lQTL — Lipidomics
Links genetic variants to lipid species abundance. Unique to Om™ — privacy-first lQTL for targeted and untargeted lipidomics datasets.
eQTL — Transcriptomics
Links genetic variants to gene expression levels. cis- and trans-eQTL detection with tissue-specific context and integration with regulatory annotations.
pQTL — Proteomics
Links genetic variants to protein abundance (Olink NPX). Identifies protein-level genetic architecture for drug target and biomarker discovery.
01
QTL Type & Phenotype Selection
Select QTL type (mQTL/lQTL/eQTL/pQTL), upload genotype data, and select molecular phenotypes. Define instrument parameters and significance thresholds.
02
Genome-Wide Association Testing
Linear regression with covariate adjustment across all molecular phenotypes. Multiple testing correction with FDR, Bonferroni, and empirical permutation thresholds.
03
Manhattan Plot
Interactive genome-wide Manhattan plot — 10,000 points rendered with chromosome-level zoom, SNP hover details, and per-feature scatter plot on click.
04
Interactive Locus Browser
Per-chromosome locus browser with association signal plot, LD heatmap (r² values), and gene annotation track. Region selection by base position.
05
Cross-Omics QTL Concordance
Compare QTL signals across multiple omics layers. Identify pleiotropic loci and shared genetic architecture across molecular phenotypes.
Genomics · QTL Flow
mQTL / lQTL / eQTL / pQTL Selection
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Genome-Wide Association Testing
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Manhattan Plot · FDR · Bonferroni · Empirical
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Interactive Locus Browser · LD Heatmap
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Cross-QTL Concordance · Pleiotropic Loci
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GWAS Integration (Coming Soon)
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account_treeCausal Inference & Biomarker Analysis
Causal Inference & Biomarker Analysis Pipeline
The only privacy-first GUI-driven causal inference engine for multi-omics data — DAG builder, Mendelian Randomization (IVW/MR-Egger/WM), multi-layer mediation analysis, What-If counterfactual simulator, and integrated multi-omics biomarker discovery with ROC analysis.
Understanding PAS scores, bubble plots, and multi-database results
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Pipeline Capabilities
From association to causal evidence & biomarker panels
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Cross-Omics Feature Selection
Select exposures, mediators, and outcomes from any combination of omics layers — metabolites, lipids, transcripts, proteins — in a unified interface.
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DAG Builder & Causal Discovery
Visual directed acyclic graph construction with structure learning. Encode prior biological knowledge as causal assumptions graphically — no code required.
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Mendelian Randomization
Two-sample MR with IVW, MR-Egger, and weighted median methods. Sensitivity analysis, heterogeneity tests, and pleiotropy diagnostics with forest plots.
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Multi-Layer Mediation Analysis
Path diagrams, mediation heatmaps, and mediator enrichment analysis. Decompose direct, indirect, and total effects across multi-omics causal pathways.
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What-If Simulator
Counterfactual simulation — model the expected biological consequence of interventions before laboratory testing. Unique to Om™.
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Biomarker Discovery & ROC
Multi-omics biomarker panel construction with logistic regression, ROC curve analysis, AUC scoring, cross-validated feature importance, and survival analysis.
Privacy by design. Researchers and institutions remain in full control of their data, with storage, retention, access, and sharing governed entirely by their own policies and preferences.
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Data governance controlled by users and institutions
Our team can discuss data governance, institutional requirements, and deployment expectations with your compliance officer.
Core Principle
Full governance of data privacy by users and institutions
OmVitalis is built around a privacy-first philosophy: researchers and institutions define how scientific data is stored, retained, accessed, shared, and governed.
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Researcher & Institutional Control
Researchers and organizations determine how data is stored, retained, shared, accessed, and governed across the research lifecycle.
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Configurable Data Governance
Data policies can be aligned with institutional requirements, study protocols, data-sharing agreements, and compliance expectations.
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No Hidden Data Use
OmVitalis does not access, retain, reuse, sell, or share project data unless explicitly authorized by the researcher or institution.
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Your science. Your data. Your rules.
OmVitalis empowers researchers and institutions with advanced omics capabilities while preserving full control over how scientific data is governed, stored, retained, and shared.
Security Controls
Information cards for accountable research workflows
OmVitalis combines governance-first data handling with practical security controls for users, teams, and institutions.
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Role-Based Access Control
Project access can be restricted to authorized users, teams, and institutional stakeholders according to the governance model selected for each deployment.
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Authenticated Sessions
Account sessions can be protected through authentication, timeout protection, and secure access checks to reduce unauthorized use.
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Verified
Stripe-Secured Payments
Payments are handled through Stripe-secured infrastructure. OmVitalis does not store payment card data inside the Om™ system.
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Enterprise
Single Sign-On (SSO)
Enterprise deployments can support SSO integration for institutional identity management and centralized user provisioning.
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Dedicated Support
Institutions can receive a dedicated support contact, priority response times, and direct access to the Om™ technical team for security reviews.
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Transparent Data Policies
Data handling expectations can be documented clearly so researchers, compliance officers, and institutions understand how data is governed.
Compliance Readiness
Designed for institutional review and responsible deployment
OmVitalis supports conversations with institutional review boards, data protection teams, IT departments, clinical collaborators, and enterprise partners.
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Institutional Policy Alignment
Data handling can be aligned with institutional policies for research data, clinical metadata, user permissions, and project retention.
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Enterprise Expectations
OmVitalis can support the governance expectations of universities, hospitals, biotechnology companies, pharmaceutical teams, and public sector organizations.
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Clear Accountability
Researchers and institutions remain the decision-makers for data access, storage, retention, sharing, and project-level permissions.
Intellectual Property
Registered copyright protection
Om™ is formally registered intellectual property under UAE law.
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For research institutions and large teams requiring additional governance.
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Single Sign-On (SSO)
Integrate with your institution's identity provider. Centralized access control, automatic provisioning, and one-click onboarding for your team.
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Dedicated Support
A dedicated support contact for your institution, with priority response times and direct access to the Om™ technical team for security reviews.
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Future-Ready Infrastructure
OmVitalis can evolve toward managed, institutional, hybrid, or enterprise deployments while preserving researcher and institutional control of data.
Important Notes
Research platform, not a clinical decision system
OmVitalis supports scientific analysis, biological interpretation, education, and research workflows. It is not intended to replace clinical judgment, regulatory review, validated diagnostic systems, or institutional compliance processes.
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Governance remains a shared responsibility.
Researchers and institutions are responsible for ensuring that data use, consent, ethics approval, privacy requirements, and regulatory obligations are followed in their specific research setting.
Privacy by design. Researchers and institutions remain in full control of their data, with storage, retention, access, and sharing governed entirely by their own policies and preferences.
