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The Gene Expression Omnibus (GEO) is a public repository that archives and freely distributes microarray, next-generation sequencing, and other forms of high-throughput functional genomic data submitted by the scientific community. Accepts next generation sequence data that examine quantitative gene expression, gene regulation, epigenomics or other aspects of functional genomics using methods such as RNA-seq, miRNA-seq, ChIP-seq, RIP-seq, HiC-seq, methyl-seq, etc. GEO will process all components of your study, including the samples, project description, processed data files, and will submit the raw data files to the Sequence Read Archive (SRA) on the researchers behalf. In addition to data storage, a collection of web-based interfaces and applications are available to help users query and download the studies and gene expression patterns stored in GEO.
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The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry.
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StellaBase is the Nematostella vectensis genomics database.
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re3data: r3d100011108
heiDATA is Heidelberg University’s research data repository. It is managed by the Competence Centre for Research Data, a joint institution of the University Library and the Computing Centre. All researchers affiliated with Heidelberg University can use this service for archiving and publishing their data. heiDATA runs on software from the Dataverse Project.
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re3data: r3d100012462
OrthoMCL is a genome-scale algorithm for grouping orthologous protein sequences. Such orthologous sequences not only share evolutionary history, but also share function. The OrthoMCL database allows the exploration of these groups, specifically comparing proteins in a group by taxonomy, sequence similarity, EC numbers, PFam domains, and annotated descriptions.
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The Gene Expression Omnibus (GEO) is a public repository that archives and freely distributes microarray, next-generation sequencing, and other forms of high-throughput functional genomic data submitted by the scientific community. Accepts next generation sequence data that examine quantitative gene expression, gene regulation, epigenomics or other aspects of functional genomics using methods such as RNA-seq, miRNA-seq, ChIP-seq, RIP-seq, HiC-seq, methyl-seq, etc. GEO will process all components of your study, including the samples, project description, processed data files, and will submit the raw data files to the Sequence Read Archive (SRA) on the researchers behalf. In addition to data storage, a collection of web-based interfaces and applications are available to help users query and download the studies and gene expression patterns stored in GEO.
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For further information contact us at helpdesk@openaire.eu - Data Repository United States Compatibility:Not yet registeredPartners:FAIR Data Informatics Laboratory Neurobiology, Life Science, Biological sampleFAIR Data Informatics Laboratory
The SciCrunch Data Dashboard is a data sharing and display platform that pulls information from primary data repositories. Anyone can create a custom portal where they can select searchable subsets of hundreds of data sources, brand their web pages and create their community. SciCrunch will push data updates automatically to all portals on a weekly basis. SciCrunch resource registry is the new name of the NIF registry.
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StellaBase is the Nematostella vectensis genomics database.
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heiDATA is Heidelberg University’s research data repository. It is managed by the Competence Centre for Research Data, a joint institution of the University Library and the Computing Centre. All researchers affiliated with Heidelberg University can use this service for archiving and publishing their data. heiDATA runs on software from the Dataverse Project.
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re3data: r3d100012462
OrthoMCL is a genome-scale algorithm for grouping orthologous protein sequences. Such orthologous sequences not only share evolutionary history, but also share function. The OrthoMCL database allows the exploration of these groups, specifically comparing proteins in a group by taxonomy, sequence similarity, EC numbers, PFam domains, and annotated descriptions.
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