Talks: The Microbiology and Biotechnology Community Talks comprise a series of monthly webinars given by collaborators and guest experts.

About this Event

The Microbiology and Biotechnology Community is focused on the development of genome-scale metabolic models for different organisms. In this webinar, we will overview some of its current activities such as:

1. Towards a genome-scale model of the Cork Oak tree (Oscar Dias - Universidade do Minho)

Stem Checker

Stem cells present unique regenerative abilities, offering great potential for treatment of prevalent pathologies such as diabetes, neurodegenerative and heart diseases. Various research groups dedicated significant effort to identify sets of genes—so-called stemness signatures—considered essential to define stem cells. However, their usage has been hindered by the lack of comprehensive resources and easy-to-use tools.

Stem Cell Net

Stem cells are characterized by their potential for self-renewal and their capacity to differentiate into mature cells. These two key features emerge through the interplay of various factors within complex molecular networks. To provide researchers with a dedicated tool to investigate these networks, we have developed StemCellNet, a versatile web server for interactive network analysis and visualization.


OptFlux is an open-source and modular software to support in silico metabolic engineering tasks aimed at being the reference computational application in the field.

A major new release of OptFlux is now available, with several important improvements and new features.


CoBAMP (Constraint-Based Analysis of Metabolic Pathways) is a Python package containing pathway analysis methods for use with constraint-based metabolic models. The main purpose is to provide a framework that is both modular and flexible enough to be integrated in other packages (such as cobrapy, framed or cameo) that already implement generic data structures for metabolic models.


merlin is a simple, graphical and user-oriented solution for the reconstruction of genome-scale metabolic models. It will guide you along the model reconstruction, providing several tools that help to improve and curate the model throughout the whole process.