Title
SHOGUN: a modular, accurate, and scalable framework for microbiome quantification.
Abstract
The software pipeline SHOGUN profiles known taxonomic and gene abundances of short-read shotgun metagenomics sequencing data. The pipeline is scalable, modular and flexible. Data analysis and transformation steps can be run individually or together in an automated workflow. Users can easily create new reference databases and can select one of three DNA alignment tools, ranging from ultra-fast low-RAM k-mer-based database search to fully exhaustive gapped DNA alignment, to best fit their analysis needs and computational resources. The pipeline includes an implementation of a published method for taxonomy assignment disambiguation with empirical Bayesian redistribution. The software is installable via the conda resource management framework, has plugins for the QIIME2 and QIITA packages and produces both taxonomy and gene abundance profile tables with a single command, thus promoting convenient and reproducible metagenomics research.
Year
DOI
Venue
2020
10.1093/bioinformatics/btaa277
BIOINFORMATICS
DocType
Volume
Issue
Journal
36
13
ISSN
Citations 
PageRank 
1367-4803
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
Benjamin Hillmann100.34
Gabriel A Al-Ghalith230.87
Robin R Shields-Cutler300.34
Qiyun Zhu400.34
Rob Knight536626.19
Dan Knights6403.73