- GB
- US
- NL
- SG
- DZ
- Thematic: No
- GB
- US
- NL
- SG
- DZ
- Thematic: No
- Institutional Repository United Kingdom Compatibility:collected from a compatible aggregatorPartners:Middlesex University MultidisciplinaryMiddlesex University
This site is a university repository providing access to the published output of the institution. The interface is available in English. Users may set up Atom and RSS feeds to be alerted to new content.
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For further information contact us at helpdesk@openaire.eu - Data Repository United States Compatibility:Not yet registeredPartners:University of Minnesota, Department of Computer Science and Engineering, NSF Humanities and Social Sciences, Psychology, Social SciencesUniversity of Minnesota, Department of Computer Science and Engineering,NSF
re3data: r3d100012151
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re3data: r3d100012647
GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.
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For further information contact us at helpdesk@openaire.eu - Data Repository United Kingdom, European Union Compatibility:Not yet registeredPartners:TGU, University of Oxford, EASL Critical Care Medicine, Health Science, Infectious Disease MedicineTGU,University of Oxford,EASL
COVID-HEP Registry is a universal and collaborative registry project to collect data on patients with liver disease at any stage or liver transplants who develop laboratory-confirmed COVID-19. We are pleased to encourage reports from worldwide. However, if reporting from the Americas or China/Japan/Korea, please see our collaborators at: SECURE-cirrhosis.
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For further information contact us at helpdesk@openaire.eu - Data Repository Netherlands Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:WUR, Universiteit Twente, Servicecentrum Bibliotheek & Archief, 4TU.Federation, TU/e, TU Delft Library Biology, Biophysics, Bioinformatics and Theoretical BiologyWUR,Universiteit Twente, Servicecentrum Bibliotheek & Archief,4TU.Federation,TU/e,TU Delft Library
re3data: r3d100010216
OAI-PMH URL: https://oai.datacite.org/oai4TU.ResearchData is an international data repository for technical-scientific datasets with a focus on science, engineering and design.
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re3data: r3d100011240
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re3data: r3d100012384
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re3data: r3d100010283
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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This site is a university repository providing access to the published output of the institution. The interface is available in English. Users may set up Atom and RSS feeds to be alerted to new content.
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re3data: r3d100012647
GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Institute for Agricultural Research. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.
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For further information contact us at helpdesk@openaire.eu - Data Repository United Kingdom, European Union Compatibility:Not yet registeredPartners:TGU, University of Oxford, EASL Critical Care Medicine, Health Science, Infectious Disease MedicineTGU,University of Oxford,EASL
COVID-HEP Registry is a universal and collaborative registry project to collect data on patients with liver disease at any stage or liver transplants who develop laboratory-confirmed COVID-19. We are pleased to encourage reports from worldwide. However, if reporting from the Americas or China/Japan/Korea, please see our collaborators at: SECURE-cirrhosis.
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re3data: r3d100010216
OAI-PMH URL: https://oai.datacite.org/oai4TU.ResearchData is an international data repository for technical-scientific datasets with a focus on science, engineering and design.
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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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