Bolyen et al. — Reproducible, interactive, scalable microbiome data science using QIIME 2
→ Consensus: Shannon, Faith PD, and observed features used in 78% of similar studies
Verified research, traced to peer reviewed evidence.
Veriomics grounds every methodology decision in peer reviewed evidence, from literature search to reproducible results.
PROBLEM
Literature Overload
40M+
papers in PubMed, with 1M+ added each year
(NLM, 2025)
3.8M
articles published in 2023-2024, 2x the 2003-2004 volume
(Ioannidis, JAMA 2024)
80
systematic reviews published every day worldwide
(Covvey et al., 2024)
2.9M
publications/year globally in science & engineering
(NSF, cited 2024)
PROBLEM
Methodology Guesswork
1%
of protocols use meta-analysis data for sample size planning
(Covvey et al., 2024)
18 mo
average time to complete a systematic review
(Cochrane, current)
50%
of biomedical studies have statistical power below 20%
(Royal Society Open Sci, 2024)
PROBLEM
Tool & Pipeline Failures
→ Genomic reproducibility crisis still unresolved as of 2024 (Baykal et al., Genome Biology 2024)
PROBLEM
Reproducibility Crisis
72%
of biomedical researchers agree there is a reproducibility crisis
(Cobey et al., PLOS Biol 2024)
27%
describe the crisis as "significant"
(Cobey et al., PLOS Biol 2024)
62%
"publish or perish" culture as primary cause
(Cobey et al., PLOS Biol 2024)
49%
of bioinformatics software hard to install
(Bio-IT World, 2024)
SOLUTION
Literature Discovery
Callahan et al. — DADA2: high-resolution sample inference from Illumina amplicon data
→ Recommended for ASV inference before diversity analysis (used in 84% of recent studies)
SOLUTION
Defensible Methodology
Without VeriomicsWith Veriomics
Sample sizePower calculation
n=10Guessed, no power calculation
n=24Calculated from 14 meta-analyses
→ ≥80% power, ES ≥ 0.5
ConfoundersVariables to control
3Age, sex, BMI only
7Auto-detected from prior studies
→ Diet, antibiotics, geography
Protocol auditPre-flight check
NoneHope it passes peer review
Cross-checkedEvery choice validated against consensus
→ Before you run a single sample
SOLUTION
Justified Workflows
Quality control & denoising
DADA2
Removes errors, infers exact sequence variants
→ Callahan et al., Nat Methods 2016
Taxonomic classification
SILVA 138.2
Maps sequences to bacterial taxa
→ Quast et al., Nucl Acids Res 2013
Diversity analysis
QIIME 2
Compares richness between groups
→ Bolyen et al., Nat Biotech 2019
Differential abundance
ANCOM-BC2
Identifies taxa differing between groups
→ Lin & Peddada, Nat Comms 2020
Defensible workflowEvery parameter citedReproducible by design
SOLUTION
Traceable Reproducibility
Run #2476 · IBD-microbiome-studySHA:
- Workflow plan generated
Method choices justified by 14 papers in field consensus — full citation tree logged
- Quality filtering completed
DADA2 v1.30.0 · 89,432 reads filtered · parameters cited to Callahan et al. 2016
- Results auto-compared to published benchmarks
Shannon diversity falls within range reported in 8 similar IBD cohort studies
- ML failure detection passed
No data leakage detected · cross-validation integrity verified · audit trail complete
Analytical Engine
A verification engine, not a black box.
Where data, methodology, and evidence converge — every output traceable to published science.
Sources
Built on sources scientists already trust
Built on PubMed and Europe PMC. Expanding to every major scientific source.
PubMed
EuropePMC
Scopus
Web ofScience
Wiley
SpringerNature
bioRxiv
medRxiv
arXiv
SemanticScholar
Cochrane
ClinicalTrials.gov
WHOICTRP
CrossRef
FAIRPrinciples
TopJournals
Literature Databases
Peer-reviewed biomedical literature — the foundation of evidence-based research.
Preprint Servers
Open early-stage research from leading preprint repositories, with full provenance.
Clinical & Evidence
Curated systematic reviews and registered clinical trials — the gold standard for clinical decision support.
Trust & Verification
Citation, identity, and quality frameworks that make every output independently verifiable.
Why Veriomics
Built for science you can defend
Three principles that shape how we build.
Augment, not replace bioinformaticians
Repetitive analysis goes to AI. Methodology, interpretation, and judgement stay with the scientist — and with the bioinformaticians who already do this work.
From months to days
Cut weeks of methodology research without cutting evidence — every accelerated decision still traced to published science.
Built by a microbiologist who codes
Bench science, peer-reviewed publications, and production data systems in industry — Veriomics is built by someone who has lived inside the workflow it's solving.
Who it's for
From a single researcher to a whole programme
Academic, biotech, and regulated teams — built for each.
Free
Free Academic
PhDs, postdocs, professors
Run literature work and explore Veriomics on your own research questions, no cost.
- Capability 1: Research Discovery
- Limited Workflow Planner access
- Community support
Contact for pricing
Paid Academic
Funded university labs
For groups with grant funding who need full access for their team.
- Full Capability 1 + 4
- Team workspaces
- Priority support
Contact for pricing
Small Biotech
Companies under 50 people
Augment your team's analytical capacity without requiring a full-time bioinformatics hire.
- All capabilities as released
- Private workspaces
- Onboarding + dedicated support
Custom
Pharma & Enterprise
Enterprise & regulated
Audit trails, traceability, and verification built for regulated environments.
- Full audit trail
- Audit-ready outputs
- SLA + procurement support
Traction
What's live. What's coming.
2025
Literature retrieval across PubMed and Europe PMC, with methodology consensus extraction.
2025
Experimental design advisor controls, sample sizing, and confounders, grounded in published precedent.
2025
Unified data ingestion sequencing, public repositories, and lab metadata in one analytical layer.
2026
Compose analytical workflows where every parameter is cited to published methodology.
TBA
Execute workflows with reproducible provenance from raw input to final output.
TBA
Publication-ready reports, every result paired with cited evidence and methodology.
TBA
Literature-validated predictive models, outputs cross-checked against published benchmarks.
TBA
Continuous validation across data, methodology, and outputs - every conclusion traceable to evidence.
TBA
Forward-looking projections that anticipate biological outcomes, experimental success rates, and research direction before resources are committed.
Run a pilot. See defensible results.
Run a focused pilot — see how Veriomics fits your actual research before committing.