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OmicsPred is a resource for predicting multi-omics data (proteomics, metabolomics, transcriptomics etc.) directly from genotypes. To do this, we use extensive multi-omics data to train genetic scores using machine learning. Here, you can explore and download the genetic scores for a wide range of biomolecular traits in human blood as well as the summary statistics of their associations with key traits and diseases in the UK Biobank.

The Open Data Commons for Spinal Cord Injury is a cloud-based community-driven repository to store, share, and publish spinal cord injury research data. There are several challenges for scientific reproducibility and bench-to-bedside translation. For example, only research and data that are published actually get disseminated, a phenomenon known as publication bias. Published research reflects to only a small fraction of all data collected, and data that do not lead to publication are largely ignored, hidden away in filing cabinets and hard drives. This results in an abundance of inaccessible scientific data known as “dark data”. Even when research is disseminated, it is usually in the form of summary reports of aggregated data (e.g. averages across individual subjects) such as scientific articles. The fact that the individual subject-level data are inaccessible further contributes to dark data. The spinal cord injury (SCI) community created the ODC-SCI to mitigate dark data in SCI research. The ODC-SCI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-SCI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-SCI community and make their datasets public and citable. The ODC-SCI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international SCI research community.

The IPD-IMGT/HLA Database provides a specialist database for sequences of the human major histocompatibility complex (MHC) and includes the official sequences named by the WHO Nomenclature Committee For Factors of the HLA System. The IMGT/HLA Database was established to provide a locus-specific database (LSDB) for the allelic sequences of the genes in the HLA system, also known as the human MHC. The IMGT/HLA Database was first released in 1998 and subsequently incorporated as a module of IPD in 2012.

PrimateDatabase.com, a publicly available web-accessible archive of intracellular patch clamp recordings and highly detailed three-dimensional digital reconstructions of neuronal morphology. PrimateDatabase.com is unique because it is currently the largest collection of non-human primate (NHP) intracellular recordings.