@inproceedings{1b1a7cffec9e4317b00b146ad65e74a5,
title = "A Review of Artificial Intelligence Applications in Bacterial Genomics",
abstract = "Because of the different genetic structures and functional gene diversity, bacterial genome data have high complexity and dimensions. Therefore, it is difficult to reveal the sequence patterns and biological mechanism of a genome with classical analysis methods. Since artificial intelligence (AI) applications are capable of mining key biological information from massive multidimensional data, they are broadly employed to analyze bacterial genomes. However, to our knowledge, there are few systematic reviews that illustrate these AI applications in bacterial genomics research. Therefore, we first introduce the characteristics of bacterial genomics, and then briefly summarize AI applications in bacterial genomics research from three aspects: gene finding, gene function prediction and gene expression network construction. Finally, we discuss the challenges and future AI applications in bacterial genomics research.",
author = "Jianghang Xie and Le Zhang and Ming Xiao",
year = "2020",
month = dec,
day = "16",
doi = "https://doi.org/10.1109/BIBM49941.2020.9313323",
language = "English",
series = "Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1870--1876",
editor = "Taesung Park and Young-Rae Cho and Hu, {Xiaohua Tony} and Illhoi Yoo and Woo, {Hyun Goo} and Jianxin Wang and Julio Facelli and Seungyoon Nam and Mingon Kang",
booktitle = "Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020",
address = "United States",
note = "2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020 ; Conference date: 16-12-2020 Through 19-12-2020",
}