GGRaSP: a R-package for selecting representative genomes using Gaussian mixture models-Reference-Cited by-同舟云学术

GGRaSP: a R-package for selecting representative genomes using Gaussian mixture models

Published:2018-04-14 Issue:17 Volume:34 Page:3032-3034
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Clarke Thomas H¹,Brinkac Lauren M¹²,Sutton Granger¹,Fouts Derrick E¹

Affiliation:

1. J. Craig Venter Institute, Rockville, MD, USA

2. Department of Biotechnology and Food Technology, Durban University of Technology, Durban, South Africa

Funder

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Department of Health and Human Services

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/34/17/3032/25702984/bty300.pdf

Reference17 articles.

1. Binning metagenomic contigs by coverage and composition;Alneberg;Nat. Methods,2014

2. mixtools: an R package for analyzing mixture models;Benaglia;J. Stat. Softw,2009

3. The R package bgmm: mixture modeling with uncertain knowledge;Biecek;J. Stat. Softw,2012

4. LOCUST: a custom sequence locus typer for classifying microbial isolates;Brinkac;Bioinformatics,2017

5. A novel method of consensus pan-chromosome assembly and large-scale comparative analysis reveal the highly flexible pan-genome of Acinetobacter baumannii;Chan;Genome Biol,2015

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