PomBase 2018: user-driven reimplementation of the fission yeast database provides rapid and intuitive access to diverse, interconnected information. Issue Volume 47:Issue D1(2019) (13th October 2018)

• Record Type: Journal Article
• Authors: Lock, Antonia; Rutherford, Kim; Harris, Midori A; Hayles, Jacqueline; Oliver, Stephen G; Bähler, Jürg; Wood, Valerie
• Is Part Of: Nucleic acids research. Volume 47:Issue D1(2019)
• Page Start: D821
• Page End: D827
• Publication Date: 2018-10-13
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gky961
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: PomBase (www.pombase.org ), the model organism database for the fission yeast Schizosaccharomyces pombe, has undergone a complete redevelopment, resulting in a more fully integrated, better-performing service. The new infrastructure supports daily data updates as well as fast, efficient querying and smoother navigation within and between pages. New pages for publications and genotypes provide routes to all data curated from a single source and to all phenotypes associated with a specific genotype, respectively. For ontology-based annotations, improved displays balance comprehensive data coverage with ease of use. The default view now uses ontology structure to provide a concise, non-redundant summary that can be expanded to reveal underlying details and metadata. The phenotype annotation display also offers filtering options to allow users to focus on specific areas of interest. An instance of the JBrowse genome browser has been integrated, facilitating loading of and intuitive access to, genome-scale datasets. Taken together, the new data and pages, along with improvements in annotation display and querying, allow users to probe connections among different types of data to form a comprehensive view of fission yeast biology. The new PomBase implementation also provides a rich set of modular, reusable tools that can be deployed to create new, or enhance existing, organism-specific databases.