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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.

The PR2 reference sequence database began as part of the BioMarks project from previous work in the Plankton Group of the Station Biologique of Roscoff. It aims to provide a reference database of carefully annotated 18S rRNA sequences using nine unique taxonomic fields (from domain to species). At present, it contains over 240,000 sequences. Although it focuses on protists, it also contains sequences from metazoa, fungi and plants as well a limited set of 16S sequences from plastids and bacteria. Several metadata fields are available for many sequences, including geo-localisation, whether it originates from a culture or a natural sample, and host type. The annotation of PR2 is performed by experts in each of the taxonomic groups.

PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.

GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.

The Hydra repository was a digital archive for the University of Hull. It was developed to hold, manage, preserve and provide access to the growing body of digital material generated through the research, teaching and administrative activities of the University.

Ocean Gene Atlas(OGA) is a webservice to explore the biogeography of marine genes based on sequence similarity with environmental genomics datasets. OGA is currently implemented with the Tara Ocean Microbiome-Reference Gene Catalog database and the Marine Atlas of Tara Ocean Unigenes. Gene abundance estimates are computed for DNA metagenomes from the smallest Tara Oceans size fractions (from 0 to 3 µm, OM-RGC), and for RNA metatranscriptomes from Tara Oceans larger size fractions (0.8 to 2000µm, MATOU). OGA also includes curated Tara Oceans Eukaryotic Metagenome and Single-Cell Assembled Genomes (MAGs and SAGs), metagenomics-based transcriptomes (MGTs) and metagenome-assembled bacterial and archaeal genomes from the polar Arctic Ocean (Arctic MAG+G).

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.