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bioRxiv
Preprint . 2018
Full-Text: https://www.biorxiv.org/content/10.1101/369785v1.full.pdf
Data sources: bioRxiv
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https://doi.org/10.1101/369785...
Article . 2018 . Peer-reviewed
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https://dx.doi.org/10.1101/369...
Other literature type
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Mining functional annotations across species

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint 16 Jul 2018Publisher:openRxiv
Authors: Warris, Sven; Dijkxhoorn, Steven; Sloten, Teije van; Vossenberg, Bart van de;

doi: 10.1101/369785

Mining functional annotations across species

Abstract

Abstract Motivation Numerous 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. Results We 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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
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