The Belgian ELIXIR node will offer specialized data resources and tools for the European and international user community. These include mainly databases, data resources and bioinformatics infrastructure that have applications in agriculture (both plant and animal) and the biomedical field (such as clinical genomics and imaging).

VariantDB is a versatile annotation and filtering database with a web-based frontend, which automatically annotates variants with allele frequencies, functional impact, pathogenicity predictions and pathway information. VariantDB allows filtering under different inheritance models, including dominant, recessive or de novo inheritance. Furthermore, all available annotations can be set as additional filtering criteria. VariantDB is therefore a user-friendly and powerful tool to help in the interpretation of NGS data.

ORCAE, Online Resource for Community Annotation of Eukaryotes, is developed for online curation and annotation of eukaryotic genomes. It is a wiki style genome annotation and curation portal which offers the community the opportunity and means to improve genome annotations and to keep gene annotations up-to-date.

Dodona is an e-learning environment for learning several programming languages. All exercises come with automatic feedback on correctness, execution time and/or programming style.

Unipept is an open source web application that is designed for metaproteomics data analysis with a focus on interactive datavisualizations. Unipept is powered by an index containing all UniProt entries, a tweaked version of the NCBI taxonomy and a custom lowest common ancestor algorithm. This combination enables a blazingly fast biodiversity analysis of large and complex metaproteome samples. This functionality is also available via an API and a set of command line tools. Next to these core functions, Unipept also has a tool for selecting unique peptides for targeted proteomics…

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DIDA is a novel database that provides detailed information on genes and associated genetic variants involved in digenic diseases, the simplest form of oligogenic inheritance.

PLAZA is a plant-oriented online resource for comparative, evolutionary and functional genomics. It allows querying and visualising structural and functional annotations, gene families, protein domains, phylogenetic trees, and genome organization. PLAZA 4.0 is the latest iteration of the PLAZA framework. This version provides a large increase in newly available species, and offers access to updated and newly implemented tools and visualisations, helping users with the ever-increasing demands for complex and in-depth analyses.

Tabloid Proteome is a database of protein association network generated using publically available mass spectrometry based experiments in PRIDE.These associations represent a broad scala of biological associations between pairs of proteins that goes well beyond mere binary protein interactions.

PIPPA is a central web interface and database that provides the tools for the management of different types of WIWAM plant phenotyping platforms and for the analysis of images and data.

WiNGS is a platform for variant discovery that was developed to analyze and unlock the potential of next-generation-sequencing data that is generated by the human genetic centers in Belgium. It is a prototype platform for human data sharing that allows federated querying for mutations across multiple genetic centers. WiNGS is also part of the international Beacon project.

DynaMine is a fast predictor of protein backbone dynamics using only sequence information as input. Given a protein sequence, DynaMine predicts backbone flexibility at the residue-level in the form of backbone N-H S2 order parameter values. These S2 values represent how restricted the movement of the atomic bond vector is with respect to the molecular reference frame.

The iMonDB (Instrument MONitoring DataBase) tool suite consists of a highly efficient database structure and associated software tools to automatically extract, store, and manage mass spectrometry instrument parameters from raw data files.

The ultimate goal of MS DATACONNECT is for data to achieve maximal impact. We aim to transform the mostly population based management of Multiple Sclerosis (MS) of today into an individualized, personalized and precision level management. We believe the key to achieve this next level of MS management is “F.A.I.R.” data. F.A.I.R. stand for Findable, Accessible, Interoperable and Re-usable. Currently, data is used rather superficially whereas we assume many new insight are to be discovered using the data that is already there. However, two main hurdles obstruct us from reaching these…

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