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  • 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.

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  • This resource is no longer available because its underlying source material is not in scope for FAIRsharingRecords previously linked: [620, 1478]. Organisations previously linked: [949, 908, 920, 915]. Publications previously linked: [2746]. Licences previously linked: [620].

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  • The AIP Mutation Database collects variants (both pathogenic, non-pathogenic and with unknown significance) related to pituitary adenoma predisposition (PAP) and to familial isolated pituitary adenoma (FIPA) syndromes and their clinical information in order to understand better the molecular and clinical details of the disease. Variants are reported according to the GRCh37/hg19 assembly of the human genome and the reference sequence used is the AIP Locus Reference Genomic.

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  • The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.

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3,881 Data sources
  • 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.

    more_vert
  • more_vert
  • more_vert
  • more_vert
  • This resource is no longer available because its underlying source material is not in scope for FAIRsharingRecords previously linked: [620, 1478]. Organisations previously linked: [949, 908, 920, 915]. Publications previously linked: [2746]. Licences previously linked: [620].

    more_vert
  • The AIP Mutation Database collects variants (both pathogenic, non-pathogenic and with unknown significance) related to pituitary adenoma predisposition (PAP) and to familial isolated pituitary adenoma (FIPA) syndromes and their clinical information in order to understand better the molecular and clinical details of the disease. Variants are reported according to the GRCh37/hg19 assembly of the human genome and the reference sequence used is the AIP Locus Reference Genomic.

    more_vert
  • The Database of Kashiwa Encyclopedia for human genome mutations in Regulatory regions and their Omics contexts (DBKERO) stores transcriptome information with a catalogue of genomic variations including public SNP data and epigenome information to enable further in-depth analyses on the disease-causing molecular mechanisms. Recent additions include genomic variation datasets and epigenome variation datasets focusing on the Japanese population. These datasets were collected as a series of genome-wide association studies and as part of International Human Epigenome Consortium (IHEC) projects. The goal is to have this database serve as a model case for the genomic, epigenomic and transcriptomic variations occurring in particular ethnic backgrounds and underlying various diseases. Clinical samples data were also associated with data from various model systems such as drug perturbation datasets using cultured cancer cells.

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  • 13
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  • 16
  • 17
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