And don't forget that you can contribute to Met4J, or play with it from Docker or Singularity images, or directly from Galaxy (.

To compare metabolic networks, it is important that they have the same identifiers. Met4J 1.2.0 provides an app to change the ids of metabolic entities in an SBML file from dictionaries. ⬇️.

To identify the metabolic capacities of an organism in relation to its environment, Met4j 1.2.0 provides an app capable of identifying the sources and outputs of a metabolic network, based on the Borenstein 2008 method ( ⬇️.

To find realistic paths in metabolic graphs, it is important to be able to add a weight on each edge. Met4J 1.2.0 now offers 2 apps to do this: one based on the degree of metabolites and the other on the chemical similarity of compounds. ⬇️.

Met4j 1.2.0 is released !. Here are the new features ⬇️.

#sbml is the main exchange format for genome scale metabolic networks. However, it can become a nightmare to read or edit a SBML file. The met4j-toolbox proposes 2 methods, Sbml2Tab and Tab2Sbml to convert SBML to tabulated file and vice versa.

Just in time for @jobim2022, we finished the version 1.0 of Met4j ! .

Next week, come and discuss with the Met4j developers at the @jobim2022 conference around the poster No T8.14. @clement_frainay @LudoCottret

Good news if you want to analyse the topology of metabolic networks: you can now try met4j, a Java library for developers. and an application toolbox for others: All feedbacks are welcome !. @metexplore @clement_frainay @LouisonFresnais @LudoCottret.