WGSQuikr statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Homology-Based Taxonomic chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

WGSQuikr specifications

Information


Unique identifier OMICS_07822
Name WGSQuikr
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


Add your version

Maintainer


  • person_outline David Koslicki <>

Publication for WGSQuikr

WGSQuikr in publication

PMCID: 4853863
PMID: 27138046
DOI: 10.1186/s40168-016-0162-5

[…] both the microbial composition and functional composition of the microbiomes of interest. hence, various tools are developed over the past few years to facilitate analysis of wgs data, such as wgsquikr [] and metaphlan []. in addition to taking advantage of the full microbiome sequenced from wgs, some approaches resort to a small subset of widely conserved marker genes mined from wgs data, […]


To access a full list of publications, you will need to upgrade to our premium service.

WGSQuikr institution(s)
Mathematics Department, Oregon State University, Corvallis, OR, USA

WGSQuikr reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review WGSQuikr