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Peer Review #1 of "Challenging a bioinformatic tool’s ability to detect microbial contaminants using in silico whole genome sequencing data (v0.2)"
Mapping Intimacies
◽
10.7287/peerj.3729v0.2/reviews/1
◽
2017
◽
Author(s):
S Kumar
Keyword(s):
Whole Genome Sequencing
◽
Peer Review
◽
Genome Sequencing
◽
In Silico
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
◽
Microbial Contaminants
Download Full-text
Related Documents
Cited By
References
Peer Review #1 of "Challenging a bioinformatic tool’s ability to detect microbial contaminants using in silico whole genome sequencing data (v0.1)"
10.7287/peerj.3729v0.1/reviews/1
◽
2017
◽
Author(s):
S Kumar
Keyword(s):
Whole Genome Sequencing
◽
Peer Review
◽
Genome Sequencing
◽
In Silico
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
◽
Microbial Contaminants
Download Full-text
Peer Review #2 of "Challenging a bioinformatic tool’s ability to detect microbial contaminants using in silico whole genome sequencing data (v0.1)"
10.7287/peerj.3729v0.1/reviews/2
◽
2017
◽
Keyword(s):
Whole Genome Sequencing
◽
Peer Review
◽
Genome Sequencing
◽
In Silico
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
◽
Microbial Contaminants
Download Full-text
Peer Review #2 of "Challenging a bioinformatic tool’s ability to detect microbial contaminants using in silico whole genome sequencing data (v0.2)"
10.7287/peerj.3729v0.2/reviews/2
◽
2017
◽
Keyword(s):
Whole Genome Sequencing
◽
Peer Review
◽
Genome Sequencing
◽
In Silico
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
◽
Microbial Contaminants
Download Full-text
Salmonella Serotyping; Comparison of the Traditional Method to a Microarray-Based Method and an in silico Platform Using Whole Genome Sequencing Data
Frontiers in Microbiology
◽
10.3389/fmicb.2019.02554
◽
2019
◽
Vol 10
◽
Cited By ~ 7
Author(s):
Benjamin Diep
◽
Caroline Barretto
◽
Anne-Catherine Portmann
◽
Coralie Fournier
◽
Aneta Karczmarek
◽
...
Keyword(s):
Whole Genome Sequencing
◽
Genome Sequencing
◽
In Silico
◽
Traditional Method
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
Download Full-text
In silico detection of phylogenetic informative Y-chromosomal single nucleotide polymorphisms from whole genome sequencing data
Electrophoresis
◽
10.1002/elps.201300459
◽
2014
◽
Vol 35
(21-22)
◽
pp. 3102-3110
◽
Cited By ~ 5
Author(s):
Anneleen Van Geystelen
◽
Tom Wenseleers
◽
Ronny Decorte
◽
Maarten J. L. Caspers
◽
Maarten H. D. Larmuseau
Keyword(s):
Single Nucleotide Polymorphisms
◽
Whole Genome Sequencing
◽
Genome Sequencing
◽
In Silico
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Nucleotide Polymorphisms
◽
Sequencing Data
◽
Single Nucleotide
Download Full-text
In silico species identification and serotyping for Cronobacter isolates by use of whole-genome sequencing data
International Journal of Food Microbiology
◽
10.1016/j.ijfoodmicro.2021.109405
◽
2021
◽
pp. 109405
Author(s):
Lu Wang
◽
Wenxuan Zhu
◽
Gege Lu
◽
Pan Wu
◽
Yi Wei
◽
...
Keyword(s):
Whole Genome Sequencing
◽
Species Identification
◽
Genome Sequencing
◽
In Silico
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
Download Full-text
From whole genome sequencing data toward a simple genotyping tool: application to the animal pathogen Mycobacterium bovis
10.26226/morressier.56d5ba2ad462b80296c965c0
◽
2016
◽
Author(s):
Lorraine Michelet
Keyword(s):
Whole Genome Sequencing
◽
Genome Sequencing
◽
Mycobacterium Bovis
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
Download Full-text
Plasmids or no plasmids? A comparison between the agilent TapeStation and whole-genome sequencing data in a large-scale bacterial sequencing project
10.26226/morressier.56d5ba27d462b80296c95fe7
◽
2016
◽
Author(s):
Sarah Alexander
Keyword(s):
Whole Genome Sequencing
◽
Genome Sequencing
◽
Large Scale
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
◽
Sequencing Project
Download Full-text
Risk prediction and marker selection in nonsynonymous single nucleotide polymorphisms using whole genome sequencing data
Animal Cells and Systems
◽
10.1080/19768354.2020.1860125
◽
2020
◽
Vol 24
(6)
◽
pp. 321-328
Author(s):
Young-Sup Lee
◽
KyeongHye Won
◽
Donghyun Shin
◽
Jae-Don Oh
Keyword(s):
Single Nucleotide Polymorphisms
◽
Whole Genome Sequencing
◽
Risk Prediction
◽
Genome Sequencing
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Nucleotide Polymorphisms
◽
Sequencing Data
◽
Single Nucleotide
◽
Marker Selection
Download Full-text
Development and evaluation of an outbreak surveillance system integrating whole genome sequencing data for non-typhoidal Salmonella in London and South East of England, 2016-17
Epidemiology and Infection
◽
10.1017/s0950268821001400
◽
2021
◽
pp. 1-26
Author(s):
Karthik Paranthaman
◽
Piers Mook
◽
Daniele Curtis
◽
Edward-Wynne Evans
◽
Emma Crawley-Boevey
◽
...
Keyword(s):
Whole Genome Sequencing
◽
Genome Sequencing
◽
Surveillance System
◽
Whole Genome Sequencing Data
◽
Whole Genome
◽
Sequencing Data
Download Full-text
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