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  • 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.

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  • CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.

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  • 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.

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  • 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.

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  • University of Groningen institutional repository

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2,464 Data sources
  • 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.

    more_vert
  • CAMPR3 (Collection of Anti-Microbial Peptides) has been generated to enhance research into AMP families. The collection is compatible with well-known databases such as PubMed and Uniprot with information like sequence, protein definition, accession numbers, structures as well as relevant organisms. Making this database a useful tool in AMP studies.

    more_vert
  • more_vert
  • more_vert
  • 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.

    more_vert
  • more_vert
  • 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.

    more_vert
  • more_vert
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  • University of Groningen institutional repository

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  • 5
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