A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains-Reference-Cited by-同舟云学术

A pan-genome-based machine learning approach for predicting antimicrobial resistance activities of the Escherichia coli strains

Published:2018-06-27 Issue:13 Volume:34 Page:i89-i95
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Her Hsuan-Lin¹,Wu Yu-Wei²

Affiliation:

1. School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

2. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

Funder

Taipei Medical University

YWW

Taiwan Ministry of Science and Technology

MOST

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/13/i89/25098111/bty276.pdf

Reference33 articles.

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2. RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes;Brettin;Sci. Rep,2015

3. Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary;Brynildsrud;Genome Biol,2016

4. Existing classes of antibiotics are probably the best we will ever have;Cormican;Brit. Med. J,2012

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