Platforms

The training platform honours the years-old tradition of bioinformatics and RDM training in Portugal.

The goal of the Data and Interoperability Platform of BioData.pt (B-DIG) is to drive the use, re-use and value of life science data in Portugal.

Compute Platform is to ensure the operation of ELIXIR-PT | BioData.pt services by providing and maintaining a distributed compute infrastructure and supporting the community in the creation of new services and tools to support all the stages of the data life cycle.

Communities

Biodiversity represents the full spectrum of organisms on Earth, at population, community, and ecosystem levels.

Aims to establish standards for microbiome-derived sequence analysis and multi-omics integration, as well as identify gaps in training, methods, and reference databases, scaling bioinformatics resources for microbiome research across all biomes.

A group of researchers who aim to standardise food and nutrition data for easier reuse and interoperability. Their goal is to develop interventions to reduce disease risk and environmental impact of our food system.

Has the goal to create an ecosystem of services that allow international access to genomic and biomolecular data, promoting research and improving health.

Group of experts who coordinate RDM best practices and provide an overview of ELIXIR RDM services. It works closely with ELIXIR Platforms, Communities and Focus Groups to maximize available RDM assets.

Focuses on proteins that have unstable structures but are essential in regulating cells. The community is committed to making IDP data more accessible, enhancing data resources and literature, and improving tools for IDP analysis.

Focuses on developing models and tools for and better understanding the underlying principles of governing the cell’s processes, as well as strain optimisation and integration with omics databases.

Community of plant scientists with different backgrounds from bioinformatics to plant biology with the main objective of developing and supporting the integration and the linking of different plant data types from phenomics and genomics to transcriptomics, metabolomics and modeling.

Provides methods and tools to analyse, predict, archive and validate the three-dimensional (3D) structure data of biomacromolecules such as proteins, RNA or DNA.