Smart cloud bioinformatics

Our technology

Upload your genomic sequences. Our servers take care of the complete analysis no setup, no local servers, no hassle.

gen4epi is a cloud-based bioinformatics platform that automates the entire genomic analysis workflow, from uploading and processing genomic sequences to generating complete bioinformatics results on our servers. Once generated, an artificial intelligence–based assistant supports the interpretation of results, helping users understand patterns, genetic relationships, and epidemiological contexts without requiring advanced computing skills.

Sequences are stored and compressed using an optimized algorithm that preserves all genetic information while minimizing the required storage space. Our servers handle the processing remotely, without using the user’s local resources, ensuring speed, scalability, and security.

Results include dynamic tables, interactive visualizations, and automated reports that make it easier to understand large volumes of data. In addition, the system integrates GIS tools and phylogenetic analyses to explore epidemiological patterns that reflect the genetic evolution of strains.

With its integrated artificial intelligence, gen4epi detects relevant patterns, generates early warnings for unusual behavior, and contributes to faster, more accurate, and more proactive epidemiological surveillance.

Key features

Cloud processing and optimization

Cloud processing and optimization

Our servers run bioinformatics analyses remotely, without using your local resources. Sequences are stored and compressed using algorithms that reduce space without any loss of information

Compression algorithm

Cybersecurity and confidentiality

All genomic data and results are processed under advanced security protocols, with encryption in transit and at rest, ensuring confidentiality and traceability of the information

Multispecies and adaptable

Multispecies and customizable

Compatible with a wide range of zoonotic pathogens. The platform is adaptable to the user’s needs

GIS integration

GIS integration

Visualize results on dynamic maps and identify spatial relationships between strains and outbreaks to improve epidemiological analysis

Phylogenetic trees

Phylogenetic analyses

Analyze genetic relationships between strains using interactive phylogenetic trees

Local AI

Local AI

Detects patterns, generates alerts, and supports scientific interpretation with integrated artificial intelligence

Projects

Organizations and institutions that use gen4epi in their genomic and epidemiological surveillance workflows.

Integrated Epidemiological System of Castilla y León

genDB VISAVET Center

About us

gen4epi was conceived and developed within the VISAVET Center for Veterinary Health Surveillance at the Complutense University of Madrid (UCM), integrating the center’s scientific expertise in genomic surveillance, bioinformatics, and epidemiological analysis.

VISAVET logo UCM logo

Julio Álvarez Sánchez – gen4epi team

Julio Álvarez Sánchez

Researcher in molecular epidemiology and animal health. Experience in genomic surveillance applied to zoonoses.

Laura Torre Fuentes – gen4epi team

Laura Torre Fuentes

Bioinformatician specialized in genomics. Development of workflows and visualization of bioinformatics results.

Javier Hernández Carrillo – gen4epi team

Javier Hernández Carrillo

Scientific software developer. Responsible for server infrastructure and the platform’s web development.

Carlos Serna Bernaldo – gen4epi team

Carlos Serna Bernaldo

Veterinarian specialized in bioinformatics and bacterial genomics. Development of workflows, visualization, and interpretation of results.