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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.

NeuronDB provides a dynamically searchable database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

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.

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.