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- Data Repository Netherlands Compatibility:Not yet registeredPartners:Maastricht University, Department of Bioinformatics Life Sciences, Basic Biological and Medical Research, Bioinformatics and Theoretical BiologyMaastricht University, Department of Bioinformatics
re3data: r3d100013959
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For further information contact us at helpdesk@openaire.eu - Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:NGDC, CNCB / BIG, CAS Plant Genetics, Botany, TranscriptomicsNGDC, CNCB / BIG, CAS
The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.
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re3data: r3d100014507
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OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.
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For further information contact us at helpdesk@openaire.eu - Data Repository United States, France, Netherlands Compatibility:Not yet registeredPartners:AMU, CNRS, CCIN2P3, CINES, CNRS +5 partners Humanities and Social Sciences, Linguistics, HumanitiesAMU,CNRS,CCIN2P3,CINES,CNRS,AMU,CLARIN,Université de Provence, Aix-Marseille I, Laboratoire parole et langage,HN,ORTOLANG
re3data: r3d100010828
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re3data: r3d100014304
OAI-PMH URL: https://lifesciences.datastations.nl/oaiDANS Data Station Life Sciences
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This site provides access to datasets on Cancer research.
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re3data: r3d100013765
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re3data: r3d100013758
NODE (The National Omics Data Encyclopedia) provides an integrated, compatible, comparable, and scalable multi-omics resource platform that supports flexible data management and effective data release. NODE uses a hierarchical data architecture to support storage of muti-omics data including sequencing data, MS based proteomics data, MS or NMR based metabolomics data, and fluorescence imaging data. Launched in early 2017, NODE has collected and published over 900 terabytes of omics data for researchers from China and all over the world in last three years, 22% of which contains multiple omics data. NODE provides functions around the whole life cycle of omics data, from data archive, data requests/responses to data sharing, data analysis, data review and publish.
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mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.
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- Data Repository Netherlands Compatibility:Not yet registeredPartners:Maastricht University, Department of Bioinformatics Life Sciences, Basic Biological and Medical Research, Bioinformatics and Theoretical BiologyMaastricht University, Department of Bioinformatics
re3data: r3d100013959
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For further information contact us at helpdesk@openaire.eu - Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:NGDC, CNCB / BIG, CAS Plant Genetics, Botany, TranscriptomicsNGDC, CNCB / BIG, CAS
The Leaf Senescence Database (LSD) is a comprehensive resource of senescence-associated genes (SAGs) and their corresponding mutants. LSD includes data types such as leaf senescence-associated transcriptomics, phenotype and interaction data.
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re3data: r3d100014507
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OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families.
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For further information contact us at helpdesk@openaire.eu - Data Repository United States, France, Netherlands Compatibility:Not yet registeredPartners:AMU, CNRS, CCIN2P3, CINES, CNRS +5 partners Humanities and Social Sciences, Linguistics, HumanitiesAMU,CNRS,CCIN2P3,CINES,CNRS,AMU,CLARIN,Université de Provence, Aix-Marseille I, Laboratoire parole et langage,HN,ORTOLANG
re3data: r3d100010828
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re3data: r3d100014304
OAI-PMH URL: https://lifesciences.datastations.nl/oaiDANS Data Station Life Sciences
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This site provides access to datasets on Cancer research.
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re3data: r3d100013765
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re3data: r3d100013758
NODE (The National Omics Data Encyclopedia) provides an integrated, compatible, comparable, and scalable multi-omics resource platform that supports flexible data management and effective data release. NODE uses a hierarchical data architecture to support storage of muti-omics data including sequencing data, MS based proteomics data, MS or NMR based metabolomics data, and fluorescence imaging data. Launched in early 2017, NODE has collected and published over 900 terabytes of omics data for researchers from China and all over the world in last three years, 22% of which contains multiple omics data. NODE provides functions around the whole life cycle of omics data, from data archive, data requests/responses to data sharing, data analysis, data review and publish.
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mirDNMR is a database for the collection of gene-centered background DNMRs obtained from different methods and population variation data. The database has the following functions: (i) browse and search the background DNMRs of each gene predicted by four different methods, including GC content (DNMR-GC), sequence context (DNMR-SC), multiple factors (DNMR-MF) and local DNA methylation level (DNMR-DM); (ii) search variant frequencies in publicly available databases, including ExAC, ESP6500, UK10K, 1000G and dbSNP and (iii) investigate the DNM burden to prioritize candidate genes based on the four background DNMRs using three statistical methods (TADA, Binomial and Poisson test). In conclusion, mirDNMR can be widely used to identify the genetic basis of sporadic genetic diseases.
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