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  • Portail HAL de l'université de Tours

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  • The clinical research Data Sharing Repository is capable of holding any type of digital object -data sets, documents, media file etc- in a secure research environment (TRE). The repository collects the metadata necessary for the Findability of the objects, promoting data sharing in clinical research.

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  • The National Inventory of Natural Heritage (INPN) is a repository for data needed for the development of conservation strategies and the dissemination of information as well as national and international reports relating to the French natural heritage (plant and animal species, natural habitats and geological heritage). It was created to provide a national reference bank for French biodiversity.

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  • 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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3,361 Data sources
  • Portail HAL de l'université de Tours

    more_vert
  • more_vert
  • The clinical research Data Sharing Repository is capable of holding any type of digital object -data sets, documents, media file etc- in a secure research environment (TRE). The repository collects the metadata necessary for the Findability of the objects, promoting data sharing in clinical research.

    more_vert
  • The National Inventory of Natural Heritage (INPN) is a repository for data needed for the development of conservation strategies and the dissemination of information as well as national and international reports relating to the French natural heritage (plant and animal species, natural habitats and geological heritage). It was created to provide a national reference bank for French biodiversity.

    more_vert
  • more_vert
  • more_vert
  • 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.

    more_vert
  • more_vert
  • more_vert
  • 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.

    more_vert
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