KEGG orthology prediction of bacterial proteins using natural language processing
Abstract Background 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 (K...
Uloženo v:
| Hlavní autoři: | , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BMC
2024-04-01
|
| Edice: | BMC Bioinformatics |
| Témata: | |
| On-line přístup: | https://doi.org/10.1186/s12859-024-05766-x |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|