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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.

LW ERIC is the e-Science European Research Infrastructure for Biodiversity and Ecosystem Research. It provides access to a multitude of datasets, e-Services and tools enabling the construction and operation of Virtual Research Environments (VREs) through innovative technologies, which permit the accelerated capture of data, their analysis and knowledge-based decision-making support for biodiversity and ecosystem management. It can be split into 2 groups of services: BER_e-Infra & BER_VREs. BER_VREs consists of 3 cutting-edge technologies: LifeBlock, a Blockchain technology for transparency and immutability, guaranteeing FAIR-compliant data. Tesseract, the technical composability layer to integrate web services, enabling the development of VREs for users to combine and arrange services and software into multiple workflows. The Artificial Intelligence virtual laboratory (vLab), an online service allowing users to locate others working on similar subjects and the hubs that link them. Within BiCiKL, LW ERIC will support virtual access to BER_VREs.

The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.

DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.

Virtual Chinese Genome Database (VCGDB) is a genome database of the Chinese population based on the whole genome sequencing data of 194 individuals. We are unsure when this database was last updated, and as such we have marked this record as Uncertain. Please contact us if you have any information on its current status.

Indel Flanking Region Database is an online resource for indels (insertion/deletions) and the flanking regions of proteins in SCOP superfamilies. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid indels, substitutions and the relationship between them.

Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.