We present the first tool of gene prediction, PlasGUN, for plasmid metagenomic short-read data. The tool, developed based on deep learning algorithm of multiple input Convolutional Neural Network, demonstrates much better performance when tested on a benchmark dataset of artificial short reads and presents more reliable results for real plasmid metagenomic data than traditional gene prediction tools designed primarily for chromosome-derived short reads.
CITATION STYLE
Fang, Z., Tan, J., Wu, S., Li, M., Wang, C., Liu, Y., & Zhu, H. (2020). PlasGUN: Gene prediction in plasmid metagenomic short reads using deep learning. Bioinformatics, 36(10), 3239–3241. https://doi.org/10.1093/bioinformatics/btaa103
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