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LIPID Metabolites And Pathways Strategy (LIPID MAPS®) is a multi-institutional supported website and database that provides access to a large number of globally used lipidomics resources. LIPID MAPS® has internationally led the field of lipid curation, classification, and nomenclature since 2003. We strive to produce new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. LIPID MAPS® is currently funded by a multi-institutional grant from Wellcome, held jointly by Cardiff University, University of California San Diego, the Babraham Institute Cambridge, and Swansea University, as well as an Innovation Study funded by ELIXIR. This current phase will see that LIPID MAPS® is maintained and importantly, further developed in line with the global demand and development of lipidomics. LIPID MAPS® has an internationally recognized classification system and the largest curated lipid structure database in the world.

This site provides access to the research outputs of the The Rockefeller University. Users may set up RSS feeds to be alerted to new content. The interface is available in English.

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.

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.