Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.
Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.
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森林与树木：利用全基因组关联研究和机器学习探索细菌毒力
DOI：
10.1016/j.tim.2020.12.002
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发表时间：
2021-07
影响因子：
15.9
通讯作者：
Hauser AR
中科院分区：
文献类型：
--
作者：
Allen JP;Snitkin E;Pincus NB;Hauser AR
The advent of inexpensive and rapid sequencing technologies has allowed bacterial whole-genome sequences to be generated at an unprecedented pace. This wealth of information has revealed an unanticipated degree of strain-to-strain genetic diversity within many bacterial species. Awareness of this genetic heterogeneity has corresponded with a greater appreciation of intra-species variation in virulence. A number of comparative genomic strategies have been developed to link these genotypic and pathogenic differences with the aim of discovering novel virulence factors. Here, we review recent advances in comparative genomic approaches to identify bacterial virulence determinants, with a focus on genome-wide association studies and machine learning.
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影响因子：
6.4
作者：
Burstein D;Satanower S;Simovitch M;Belnik Y;Zehavi M;Yerushalmi G;Ben-Aroya S;Pupko T;Banin E
通讯作者：
Banin E
影响因子：
5.4
作者：
Berthenet E;Yahara K;Thorell K;Pascoe B;Meric G;Mikhail JM;Engstrand L;Enroth H;Burette A;Megraud F;Varon C;Atherton JC;Smith S;Wilkinson TS;Hitchings MD;Falush D;Sheppard SK
通讯作者：
Sheppard SK
影响因子：
4.4
作者：
Drouin A;Giguère S;Déraspe M;Marchand M;Tyers M;Loo VG;Bourgault AM;Laviolette F;Corbeil J
通讯作者：
Corbeil J
影响因子：
4.3
作者：
Aun, Erki;Brauer, Age;Remm, Maido
通讯作者：
Remm, Maido
影响因子：
11.8
作者：
Cremers, Amelieke J. H.;Mobegi, Fredrick M.;de Jonge, Marien I.
通讯作者：
de Jonge, Marien I.