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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.

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.

The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.

MDM-Portal (Medical Data-Models) is a meta-data registry for creating, analysing, sharing and reusing medical forms, developed by the Institute of Medical Informatics, Heidelberg University Hospital in Germany. see also https://doi.org/10.1055/s-0044-1786839 Electronic forms for documentation of patient data are an integral part within the workflow of physicians. A huge amount of data is collected either through routine documentation forms (EHRs) for electronic health records or as case report forms (CRFs) for clinical trials. This raises major scientific challenges for health care, since different health information systems are not necessarily compatible with each other and thus information exchange of structured data is hampered. Software vendors provide a variety of individual documentation forms according to their standard contracts, which function as isolated applications. Furthermore, free availability of those forms is rarely the case. Currently less than 5 % of medical forms are freely accessible. Based on this lack of transparency harmonization of data models in health care is extremely cumbersome, thus work and know-how of completed clinical trials and routine documentation in hospitals are hard to be re-used. The MDM-Portal serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It already contains more than 25,000 system-independent forms (CDISC ODM Format, www.cdisc.org, Operational Data Model) with more than 600,000 data-elements. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc. A growing user community will lead to a growing database of medical forms. In this matter, we would like to encourage all medical researchers to register and add forms and discuss existing forms.

Paramecia are unicellular eukaryotes of large size (~ 120 micrometers for P aurelia species) that belong to the ciliate phylum. Ciliates, like the Last Eukaryotic Common Ancestor, have the axonemal structure in the form of vibrating cilia that assure locomotion and food capture and are essential for pairing of paramecia of opposite mating types during conjugation (sexual reproduction). Like multicellular eukaryotes, ciliates separate germinal and somatic functions, harbouring two different kinds of nuclei. A diploid germinal micronucleus transmits the genetic information to the next sexual generation, while a polyploid somatic macronucleus is responsible for gene expression. Reproducible DNA elimination, which occurs in many animal lineages, takes place in ciliates during sexual reproduction, when a new somatic macronucleus develops from a copy of the germline micronucleus. The somatic genomes of numerous Paramecium species are being sequenced and annotated. ParameciumDB integrates the genomes as they become available, to provide resources for functional and comparative genomics to the community. ParameciumDB interfaces and tools have been redesigned. Your feedback is welcome.

This site provides access to Grey Literature from Europe. The interface is available in French and English. This site replaces OpenSIGLE. The content is available in a variety of European languages.