The IFB’s services have two main objectives: the deployment of a high-performance bioinformatics service optimized for the needs of the life sciences communities (university laboratories and industries) and the development of innovative bioinformatics resources to address strategic challenges in health, environment and agriculture. As such, IFB provides support, account opening, software and database installation, website and virtual machine hosting, software/database/ information system development and bio-data analysis
Visit websiteBiological system modeling / bioinformatics

RD-Connect has developed several bioinformatic tools to help researchers analyse omics data and identify targets for potential therapies. These include variant analysis and annotation tools as well as therapeutic prediction tools and gene-drug interaction resources, many of which are integrated in the Genome-Phenome Analysis Platform. RD-Connect Genome-Phenome Analysis Platform is a userfriendly tool that lets researchers and clinicians analyse DNA sequencing data and link them to clinical information (i.e. description of symptoms of the patients). This helps to understand how genes determine the disease symptoms and their severity, make accurate genetic diagnosis and design better treatment.
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The Tools Platform helps communities find, register and benchmark software tools. These tools help researchers access, analyse and integrate biological data, and so drive scientific discovery across the life sciences.
We maintain information standards for these tools, and produce, adopt and promote best practices for their development. We also:
*connect tools and data services
*link tools to training materials
*make it easy to download, deploy, and benchmark tools for performance
*put tools in the context of the common workflows in bioinformatics, including container technologies and Galaxy.

Services offered by Instruct include
Computational Services for Structural Biology: Bioinformatics Tools, Integrative Modelling, Crystallography, Electron Microscopy, NMR
More information about our current technology offering can be found at https://instruct-eric.eu/platform-catalogue
COSYS – open computational platform for Systems Biology
Provided by SYSBIO – Centre of Systems Biology

COSYS is an open computational platform designed for the Systems Biology community. Designed to help life scientists to easily access basilar systems biology tools, it can be also used with effectiveness by skilled systems biologists. Cooperation-driven and user-friendly, COSYS is a unified tool for biological modeling (mechanistic and constraint-based), simulation and analysis, providing users with the cutting edge of GPU-powered computation. COSYS is free of charge, and can be used by everyone.
Visit websiteBioinformatics supporting analysis, integration and interpretation of large scale genomics datasets
Provided by CCRI (Children's Cancer Research Institute)

* Bioinformatics: The bioinformatics team provides advice and support for CCRI researchers with regard to analysis, integration and interpretation of large scale genomics datasets. We maintain and run computational pipelines for processing raw next-generation sequencing (NGS) data and data quality checks for all genomics data held within the CCRI/St.Anna Children´s Hospital. We are also performing high quality data analyses in close collaboration with CCRI/St.Anna Children´s Hospital researchers.
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PhenomeCentral is a repository for secure data sharing targeted at clinicians and scientists working in the rare disorder community. We encourage global scientific collaboration while respecting the privacy of patients profiled in this centralized database. PhenomeCentral uses state-of-the-art algorithms to match cases on phenotype and genotype. You can find similar cases even if there are no phenotypes in common, because terms are matched semantically rather than using textual similarity. You can enter candidate genes or let the Exomiser automatically prioritize genes from exome sequencing data.
Visit websiteThe purpose of CellML is to store and exchange computer-based mathematical models. CellML allows scientists to share models even if they are using different modelling tools. It also enables them to reuse components from one model in another, thus accelerating model development
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