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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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Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.
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PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.
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The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.
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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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Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria smegmatis information.
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PDX Finder is an open repository for the upload and storage of clinical, genomic and functional Patient-Derived Xenograph (PDX) data which provides a comprehensive global catalogue of PDX models available for researchers across distributed repository databases. Integrated views are provided for histopathological image data, molecular classification of tumors, host mouse strain metadata, tumor genomic data and metrics on tumor response to chemotherapeutics. The data model for PDX Finder is based on the minimal information standard for PDX models developed in collaboration with a broad range of stakeholders who create and/or use PDX models in basic and pre-clinical cancer research.
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The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.
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