Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species-Reference-Cited by-同舟云学术

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Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species

Published:2017-03-30 Issue:3 Volume:12 Page:e0174638
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Liu Xiao,Wang Bao-Jin,Xu Luo,Tang Hong-Ling,Xu Guo-Qing

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

1. Essence of life: essential genes of minimal genomes;M Juhas;Trends Cell Biol,2011

2. Essential genes as antimicrobial targets and cornerstones of synthetic biology;M Juhas;Trends Biotechnol,2012

3. Essential genes are more evolutionarily conserved than are nonessential genes in bacteria;IK Jordan;Genome Res,2002

4. Essential genes in Bacillus subtilis: a re-evaluation after ten years;FM Commichau;Mol Biosyst,2013

5. Computational Methods for the Prediction of Microbial Essential Genes;Y Lu;Curr Bioinform,2014

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1. Recent advances in the characterization of essential genes and development of a database of essential genes;iMeta;2024-01-02

2. Identification of discriminant features from stationary pattern of nucleotide bases and their application to essential gene classification;Frontiers in Genetics;2023-04-20

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

4. Cross-species prediction of essential genes in insects;Bioinformatics;2022-01-06

5. Harnessing model organism genomics to underpin the machine learning-based prediction of essential genes in eukaryotes – Biotechnological implications;Biotechnology Advances;2022-01

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