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KIDA (KInetic Database for Astrochemistry) is a database of kinetic data of interest for astrochemical (interstellar medium and planetary atmospheres) studies. KIDA is a project initiated by different communities in order to 1) improve the interaction between astrochemists and physico-chemists and 2) simplify the work of modeling the chemistry of astrophysical environments. Here astrophysical environments stand for the interstellar medium and planetary atmospheres. Both types of environments use similar chemical networks and the physico-chemists who work on the determination of reaction rate coefficients for both types of environment are the same.

GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.

InteroPorc is an automatic prediction tool to infer protein-protein interaction networks. It is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8.

The Viral Host Range database (VHRdb) represents a unique resource for the community to rapidly find, document analyze and disseminate data related to the range of hosts that a virus can infect. Over the years, countless host range experiments have been performed in many laboratories. However, these data are not readily available to the community and are therefore underexploited. The VHRdb is an online resource that centralizes experimental data related to the host range of viruses. While it originates from bacteriophages and bacteria interaction studies, its design is compatible with viruses infecting all living forms. Users can browse publicly available data to find which host is infected by a virus, and vice versa. Users can also upload their own data, with the option to keep it private or make it public, analyze results across independent sets of data, generate and visualize outputs. Data implemented in the VHRdb are linked to users and, if available, to publications and sequence identifiers. The VHRdb is an initiative from the Debarbieux lab and is developed and maintained in collaboration with the Bioinformatics and Biostatistics Hub of Institut Pasteur. If you wish to import a collection or very sizable data into the VHRdb, please do no hesitate to contact us to arrange details such as specific identifiers (see Documentation).