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- Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:WMC Biomedical Science, mutation analysis, mutationWMC
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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For further information contact us at helpdesk@openaire.eu - Institutional Repository Mexico Compatibility:OpenAIRE Basic (DRIVER OA)Partners:ITESM Technology General, Education, Library and Information ScienceITESMOAI-PMH URL: http://catedra.ruv.itesm.mx/oai/request
This site provides access to the teaching output of the institution. Users may set up an RSS feed to be alerted to new content. The interface is available in Spanish or English.
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FerrDb V2 contains 1001 ferroptosis regulators and 143 ferroptosis-disease associations manually curated from 3288 articles. Specifically, there are 621 gene regulators, of which 264 are drivers, 238 are suppressors, 9 are markers, and 110 are unclassified genes; and there are 380 substance regulators, with 201 inducers and 179 inhibitors. Compared to FerrDb V1, curated articles increase by > 300%, ferroptosis regulators increase by 175%, and ferroptosis-disease associations increase by 50.5%. Circular RNA and pseudogene are novel regulators in FerrDb V2, and the percentage of non-coding RNA increases from 7.3% to 13.6%. External gene-related data were integrated, enabling thought-provoking and gene-oriented analysis in FerrDb V2.
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re3data: r3d100013780
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re3data: r3d100010582
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- Data Repository China (People's Republic of) Compatibility:Not yet registeredPartners:WMC Biomedical Science, mutation analysis, mutationWMC
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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For further information contact us at helpdesk@openaire.eu - Institutional Repository Mexico Compatibility:OpenAIRE Basic (DRIVER OA)Partners:ITESM Technology General, Education, Library and Information ScienceITESMOAI-PMH URL: http://catedra.ruv.itesm.mx/oai/request
This site provides access to the teaching output of the institution. Users may set up an RSS feed to be alerted to new content. The interface is available in Spanish or English.
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FerrDb V2 contains 1001 ferroptosis regulators and 143 ferroptosis-disease associations manually curated from 3288 articles. Specifically, there are 621 gene regulators, of which 264 are drivers, 238 are suppressors, 9 are markers, and 110 are unclassified genes; and there are 380 substance regulators, with 201 inducers and 179 inhibitors. Compared to FerrDb V1, curated articles increase by > 300%, ferroptosis regulators increase by 175%, and ferroptosis-disease associations increase by 50.5%. Circular RNA and pseudogene are novel regulators in FerrDb V2, and the percentage of non-coding RNA increases from 7.3% to 13.6%. External gene-related data were integrated, enabling thought-provoking and gene-oriented analysis in FerrDb V2.
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re3data: r3d100010582
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