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The Biodiversity Literature Repository (BLR) is a research infrastructure (RI) comprising the BLR Community on Zenodo at the European Center for Nuclear Research (CERN), and services to search and retrieve the data (Ocellus, Zenodeo API, BLR website). BLR’s focus is on biodiversity data liberated from scholarly publications, and it uses custom metadata linking to external vocabularies covering the needs of the biodiversity community. This includes taxonomic treatment or figures as well as the deposit of the original article annotated with metadata describing the data contained in the articles itself, as well as related identifiers for figures and and treatments therein. The main data import is through TreatmentBank or via publishers such as Pensoft. With over 650,000 deposits, BLR is the single largest community in Zenodo. Its data is widely reused, for example by the Global Biodiversity Information Facility (GBIF). All data in BLR is published under the CC0 Public Domain Dedication, remaining free for anyone to use, anywhere, for any purpose.

MetaNetX/MNXref is a database for reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. The tools developed at MetaNetX are useful for accessing, analysing and manipulating metabolic networks. MetaNetX goal is to automate model construction and genome annotation for large-scale metabolic networks.

GlobalFungi is a collection and validation of data published on the composition of fungal communities in terrestrial environments including soil and plant-associated habitats. Users can search for individual sequences, fungal species hypotheses, species or genera, to get a visual representation of their distribution in the environment and to access and download sequence data and metadata. In addition, the user interface also allows authors to submit data from studies not yet covered and in this way to help to build the resource for the community of researchers in systematics, biogeography, and ecology of fungi.

The Eukaryotic Promoter Database (EPD) provides accurate transcription start site (TSS) information for promoters of 15 model organisms, from human to yeast to the malaria parasite Plasmodium falciparum. While the original database was a manually curated database based on published experiments, new promoter collections are now produced entirely automatically (under the name “EPDnew”) based on high-throughput transcript mapping data and high-quality gene annotation resources. Corresponding functional genomics data can be viewed in a genome browser, queried or analyzed via web interfaces, or exported in standard formats like FASTA or BED for subsequent analysis with other tools; of note, EPD is tightly integrated with two tool suites developed by our group: ChIP-Seq and Signal Search Analysis, for analysis of chromatin context and sequence motif respectively. EPD provides promoter viewers, designed with the aim of integrating and displaying information from different sources about, for instance, histone marks, transcription factor-binding sites or SNPs with known phenotypes. These viewers rely upon the UCSC genome browser as a visualization platform, which enables users to view data tracks from EPD jointly with tracks from UCSC or public track hubs.

This site provides access to the research output of the institution. Many items are not available as full-text.

A public standards-compliant repository for gel-based proteomics data linked to protein identification published in the literature, and stores a collection of multi-species reference maps, with thousands of identified spots..