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NeuronDB provides a dynamically searchable database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.

Paramecia are unicellular eukaryotes of large size (~ 120 micrometers for P aurelia species) that belong to the ciliate phylum. Ciliates, like the Last Eukaryotic Common Ancestor, have the axonemal structure in the form of vibrating cilia that assure locomotion and food capture and are essential for pairing of paramecia of opposite mating types during conjugation (sexual reproduction). Like multicellular eukaryotes, ciliates separate germinal and somatic functions, harbouring two different kinds of nuclei. A diploid germinal micronucleus transmits the genetic information to the next sexual generation, while a polyploid somatic macronucleus is responsible for gene expression. Reproducible DNA elimination, which occurs in many animal lineages, takes place in ciliates during sexual reproduction, when a new somatic macronucleus develops from a copy of the germline micronucleus. The somatic genomes of numerous Paramecium species are being sequenced and annotated. ParameciumDB integrates the genomes as they become available, to provide resources for functional and comparative genomics to the community. ParameciumDB interfaces and tools have been redesigned. Your feedback is welcome.

MADIS is the open access institutional repository of Ifsttar laboratories and jointly Managed Research Units (UMRs) productions. It is managed by the Library staff of Ifsttar. The interface is in French.

The CESSDA Data Catalogue contains the metadata of all data in the holdings of CESSDA service providers. It is a one-stop-shop for search and discovery, enabling effective access to European research data for researchers. Details of over 40, 000 data collections are listed. These are harvested from fifteen different CESSDA Service Providers.

Nearly 60% of patients undergoing cancer treatment are estimated to have had at least one potential drug-drug interaction; for patients receiving oral anticancer therapy, up to 50% have been reported to experience a potential drug-drug interaction, with 16% experiencing a major event. Drug-drug interactions are therefore a significant issue for cancer patients and the health care professionals who treat them. Combining the internationally recognised drug-drug interactions expertise of the University of Liverpool (UK) with the clinical pharmacology in oncology and haemotology expertise of Radboud University, Nijmegen (the Netherlands), this site was established in 2017 in response to the need for improved management of DDIs with anti-cancer agents.