5,577 Data sources
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- Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:Babraham Institute, UC, Cardiff University Life Science, Systems Biology, MetabolomicsBabraham Institute,UC,Cardiff University
re3data: r3d100012315
LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.25504/fairsharing.cpneh8&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.25504/fairsharing.cpneh8&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Institutional Repository United States Compatibility:Not yet registeredPartners:Rockefeller UniversityRockefeller University
This site provides access to the research outputs of the The Rockefeller University. Users may set up RSS feeds to be alerted to new content. The interface is available in English.
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re3data: r3d100011016
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re3data: r3d100012532
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3d100012532&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3d100012532&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:EBI, NYU Langone Health, NYU School of Medicine, UD, DOI, NCHGR Life Sciences, Microbiology, Virology and Immunology, Metabolism, Biochemistry and Genetics of MicroorganismsEBI,NYU Langone Health, NYU School of Medicine,UD,DOI,NCHGR
re3data: r3d100012230
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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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re3data: r3d100011690
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5,577 Data sources
- Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:Babraham Institute, UC, Cardiff University Life Science, Systems Biology, MetabolomicsBabraham Institute,UC,Cardiff University
re3data: r3d100012315
LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.25504/fairsharing.cpneh8&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.25504/fairsharing.cpneh8&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Institutional Repository United States Compatibility:Not yet registeredPartners:Rockefeller UniversityRockefeller University
This site provides access to the research outputs of the The Rockefeller University. Users may set up RSS feeds to be alerted to new content. The interface is available in English.
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re3data: r3d100011016
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re3data: r3d100012532
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3d100012532&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=r3d100012532&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Data Repository United Kingdom, United States Compatibility:Not yet registeredPartners:EBI, NYU Langone Health, NYU School of Medicine, UD, DOI, NCHGR Life Sciences, Microbiology, Virology and Immunology, Metabolism, Biochemistry and Genetics of MicroorganismsEBI,NYU Langone Health, NYU School of Medicine,UD,DOI,NCHGR
re3data: r3d100012230
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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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re3data: r3d100011690
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