Bioinformatics • Omics • Translational biology

From complex biological data to clear, decision-ready reports.

Genovera helps biotech teams, service providers, and research groups transform sequencing and assay data into rigorous analyses, interpretable figures, and client-ready reporting.

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16S Metagenomics RNA-seq Single-cell Gene editing QC Protein design

Example deliverable

Client-ready analysis report

  • Quality control summary
  • Statistical analysis & figures
  • Biological interpretation
  • Limitations & next steps
  • Modeling and design options

The problem

Data generation is easy. Interpretation and reporting are still bottlenecks.

Many teams can generate sequencing, flow cytometry, or gene-editing data. The hard part is turning heterogeneous results into a clean story: what changed, how reliable the signal is, what it means biologically, and what decision should follow.

Services

Focused bioinformatics support for applied biology.

Flexible project support, from one-off analyses to reusable reporting workflows.

Microbiome & metagenomics

16S and shotgun metagenomics analysis for microbiome, nutrition, cosmetic, environmental, and R&D projects.

  • Alpha/beta diversity
  • Taxonomic composition
  • Differential abundance
  • Functional interpretation

Transcriptomics & single-cell

Bulk RNA-seq, scRNA-seq, immune profiling, and pathway-level interpretation for translational and discovery projects.

  • QC and preprocessing
  • Differential expression
  • Pathway enrichment
  • Cell population analysis

Gene-editing QC

Analysis of CRISPR, base-editing, and prime-editing readouts to compare candidates and support experimental decisions.

  • Amplicon sequencing
  • Editing outcome analysis
  • Bystander/indel summaries
  • Candidate comparison

AI protein engineering & docking

Structure-based workflows to explore binders, protein interfaces, mutation effects, and candidate prioritization.

  • BindCraft / binder design
  • Molecular docking workflows
  • FoldX mutational scanning
  • Structure interpretation

Toolbox

Bioinformatics, molecular modeling, and AI-guided design workflows.

Projects can combine classical analysis pipelines with structure-based modeling and modern AI-assisted protein engineering tools when relevant.

Protein design & binder exploration

BindCraft-style workflows and AI-assisted design strategies to generate or prioritize candidate binders before experimental testing.

Docking & interface analysis

Molecular docking, interface scoring, structural inspection, and comparison of predicted protein-protein or protein-ligand interactions.

Mutation impact prediction

FoldX and related structure-based approaches to estimate mutation effects, stability shifts, and interface-disrupting variants.

Candidate prioritization reports

Clear ranking tables, structural figures, limitations, and practical next-step recommendations for wet-lab validation.

Modeling outputs are treated as decision-support tools, not experimental proof: results are interpreted with explicit assumptions, uncertainty, and validation recommendations.

Use cases

Built for teams that need reliable outputs, not just plots.

01

Service providers

White-label reports for sequencing labs, CROs, core facilities, and assay providers.

02

Biotech startups

Analysis and interpretation packages for R&D decisions, grant applications, investor decks, and board updates.

03

Research teams

Reproducible workflows, publication-grade figures, and clear biological interpretation for complex datasets.

Process

A simple workflow from question to deliverable.

1

Define the decision

We clarify the biological question, dataset structure, expected output, and timeline.

2

Analyze reproducibly

We run documented analyses with transparent assumptions and quality-control checks.

3

Interpret clearly

Results are translated into figures, conclusions, limitations, and recommended next steps.

4

Deliver professionally

You receive a clean report, reusable figures, and optional pipeline handover.

First collaboration

Start with a focused pilot.

For a first project, Genovera can analyze one representative dataset and produce a clean report template to evaluate fit, quality, and repeatability.

Propose a pilot

Contact

Have a dataset or reporting bottleneck?

Send a short description of your project, data type, timeline, and expected output. You will receive a pragmatic answer on feasibility and next steps.

Project inquiries

contact@genovera.fr