KEGG orthology prediction of bacterial proteins using natural language processing
KEGG orthology prediction of bacterial proteins using natural language processing
About this item
Full title
Author / Creator
Chen, Jing , Wu, Haoyu and Wang, Ning
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
More information
Scope and Contents
Contents
The advent of high-throughput technologies has led to an exponential increase in uncharacterized bacterial protein sequences, surpassing the capacity of manual curation. A large number of bacterial protein sequences remain unannotated by Kyoto Encyclopedia of Genes and Genomes (KEGG) orthology, making it necessary to use auto annotation tools. Thes...
Alternative Titles
Full title
KEGG orthology prediction of bacterial proteins using natural language processing
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a3fb60e039b548deb251de7e105b8bb1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a3fb60e039b548deb251de7e105b8bb1
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-024-05766-x
