The Reactome pathway Knowledgebase
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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Abstract
The Reactome Knowledgebase (www.reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations-an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression pattern surveys or somatic mutation catalogues from tumour cells. Over the last two years we redeveloped major components of the Reactome web interface to improve usability, responsiveness and data visualization. A new pathway diagram viewer provides a faster, clearer interface and smooth zooming from the entire reaction network to the details of individual reactions. Tool performance for analysis of user datasets has been substantially improved, now generating detailed results for genome-wide expression datasets within seconds. The analysis module can now be accessed through a RESTFul interface, facilitating its inclusion in third party applications. A new overview module allows the visualization of analysis results on a genome-wide Reactome pathway hierarchy using a single screen page. The search interface now provides auto-completion as well as a faceted search to narrow result lists efficiently.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Nucleic Acids Research
- Topic
- Bioinformatics and Genomic Networks
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- University of TorontoOntario Institute for Cancer Research
- Funders
- National Institute of General Medical SciencesNational Human Genome Research InstituteNational Institutes of Health
- Keywords
- VisualizationInterface (matter)Computer scienceBiologyZoomData visualizationUser interfaceComputational biologyThe InternetUsabilityGraph drawingInformation retrievalData miningBioinformaticsWorld Wide WebHuman–computer interactionProgramming language
- Has abstract in OpenAlex
- yes