bioRxivBioinformaticsPreprint
Mining functional annotations across species
Sven WarrisiD, Steven Dijkxhoorn, Teije van Sloten, Bart T. L. H. van de VossenbergiD
Abstract
MotivationNumerous tools and databases exist to annotate and interpret the functions encoded in genomes (InterProScan, KEGG, GO etc.). However, analyzing and comparing functionality across a number of genomes, for example of related species, is not trivial.\n\nResultsWe present a novel approach, for which KEGG and Gene Ontology data are imported into a Neo4j graph database and InterProScan results from several species are added. Using the Neo4j plugin for Cytoscape, users can query this database and visualize functional annotations (sub)graphs, to compare and group functional annotation across species.
- organism: multiple species
- assay: proteomics
- research focus: database / resource
- approach: statistical model
- approach: graph neural network
- Citations
- 2
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