SciTransfer
Organization

SEQUENTIA BIOTECH SL

Barcelona bioinformatics SME applying AI to genomic analysis for crop improvement and personalized medicine.

Technology SMEhealthESSMEThin data (2/5)
H2020 projects
3
As coordinator
2
Total EC funding
€174K
Unique partners
8
What they do

Their core work

Sequentia Biotech is a Barcelona-based bioinformatics SME that develops software tools and analytical services for genomic and transcriptomic data. Their core capability lies in applying artificial intelligence to RNA-seq analysis and microbiome profiling, serving both agricultural and biomedical research. They provide computational biology expertise to research consortia, translating raw sequencing data into actionable biological insights for crop improvement and personalized medicine applications.

Core expertise

What they specialise in

AI-driven RNA-seq analysisprimary
1 project

The AIR project (2017) focused specifically on developing artificial intelligence methods for RNA-seq data interpretation.

Microbiome analytics for healthprimary
1 project

GAIA-Health (2019) developed a microbiome analysis suite targeting personalized medicine applications.

Plant genomics and polyploidy researchemerging
1 project

POLYPLOID (2021-2025) involves them as a bioinformatics partner studying whole genome duplication and its effects on crop traits.

Bioinformatics software developmentprimary
3 projects

All three projects — AIR, GAIA-Health, and POLYPLOID — center on computational analysis of biological sequence data, indicating this is their core business.

Evolution & trajectory

How they've shifted over time

Early focus
AI bioinformatics product development
Recent focus
Plant genomics and crop improvement

Sequentia Biotech began with two SME Instrument feasibility studies (2017-2019) focused on commercializing their own bioinformatics products — first for RNA-seq analysis, then for microbiome profiling in healthcare. By 2021, they shifted toward participating in a larger research consortium (POLYPLOID) as a specialist contributor in plant genomics, applying their computational tools to crop science. This trajectory suggests a company that validated its core technology through SME grants and is now expanding into collaborative research where their bioinformatics expertise serves domain scientists.

Moving from internal product development toward embedding their bioinformatics capabilities in larger agricultural genomics research consortia — a potential partner for any project needing computational biology muscle.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European6 countries collaborated

Sequentia Biotech primarily operated independently during their early phase, coordinating two small SME Instrument projects (AIR, GAIA-Health) that were essentially solo feasibility studies. Their most recent project (POLYPLOID) marks a shift to working within a multi-partner consortium as a participant, collaborating with 8 unique partners across 6 countries. This suggests a company transitioning from self-funded product exploration to integration within larger research teams where they contribute specialized bioinformatics services.

Their consortium network spans 8 unique partners across 6 countries, built primarily through the POLYPLOID project. The geographic spread suggests connections to European plant science and agricultural research groups rather than a concentrated regional cluster.

Why partner with them

What sets them apart

Sequentia Biotech sits at the intersection of artificial intelligence and genomics — a combination that is increasingly in demand but where few SMEs operate as dedicated service providers. Their ability to move between health-oriented microbiome analysis and agricultural genomics makes them unusually versatile for a small bioinformatics company. For consortium builders, they offer plug-in computational biology capacity without the overhead of a large research institute.

Notable projects

Highlights from their portfolio

  • POLYPLOID
    Their largest funded project (EUR 73,600) and only multi-partner consortium, running until 2025, focused on how whole genome duplication affects crop breeding — a topic with direct agricultural application.
  • AIR
    Their founding H2020 project that established their core identity: applying AI to RNA-seq analysis, which underpins all their subsequent work.
  • GAIA-Health
    Demonstrates their cross-sector versatility, extending bioinformatics capabilities from agriculture into personalized medicine via microbiome analysis.
Cross-sector capabilities
foodenvironmentdigital
Analysis note: Profile based on only 3 projects with limited keyword data. The two early SME-1 projects had no keywords in the dataset, so expertise characterization relies heavily on project titles and the single keyword-rich POLYPLOID project. The company's actual product portfolio and commercial services may be broader than what H2020 data reveals.