BioinformaticsbioRxivPreprint
SSEalign: accurate function prediction of bacterial unannotated protein, based on effective training dataset
Zhiyuan Yang, Stephen Kwok‐Wing Tsui
SSEalign improves function prediction of bacterial unannotated proteins using a training dataset from 20 bacterial genomes, achieving 91.2% test accuracy and annotating 99 of 149 unannotated proteins in JCVI-syn3.0.
DOI 10.1101/200915