Predicting essential genes of 37 prokaryotes by combining information-theoretic features-Reference-Cited by-同舟云学术

Predicting essential genes of 37 prokaryotes by combining information-theoretic features

Published:2021-09 Issue: Volume:188 Page:106297
ISSN:0167-7012
Container-title:Journal of Microbiological Methods
language:en
Short-container-title:Journal of Microbiological Methods

Author:

Liu Xiao,Luo Yachuan,He Ting,Ren Meixiang,Xu Yuqiao

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Microbiology (medical),Molecular Biology,Microbiology

Reference31 articles.

1. Network-based features enable prediction of essential genes across diverse organisms;Azhagesan;PLoS One,2018

2. An entropy-based approach for the identification of phylogenetically informative genomic regions of papillomavirus;Batista;Infect. Gene. Evol. J. Mol. Epidemiol. Evol. Genet. Infect. Dis.,2011

3. Entropy-based approach for selecting informative regions in the L1 gene of bovine papillomavirus for phylogenetic inference and primer design;Batista;Genet. Mol. Res.,2013

4. Error-correcting codes and information in biology;Battail;BIOSYSTEMS,2019

5. The average mutual information profile as a genomic signature;Bauer;BMC Bioinform.,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of prokaryotic and eukaryotic promoters based on information-theoretic features;Biosystems;2023-09

2. Research Progress of Fermented Functional Foods and Protein Factory-Microbial Fermentation Technology;Fermentation;2022-11-28

3. Bacterial genome reductions: Tools, applications, and challenges;Frontiers in Genome Editing;2022-08-31