2018
DOI: 10.1101/277442
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

MetaWRAP - a flexible pipeline for genome-resolved metagenomic data analysis

Abstract: Background:The study of microbiomes using whole-metagenome shotgun sequencing enables the analysis of uncultivated microbial populations that may have important roles in their environments. Extracting individual draft genomes (bins) facilitates metagenomic analysis at the single genome level. Software and pipelines for such analysis have become diverse and sophisticated, resulting in a significant burden for biologists to access and use them. Furthermore, while bin extraction algorithms are rapidly improving, … Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
212
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 153 publications
(216 citation statements)
references
References 54 publications
3
212
0
1
Order By: Relevance
“…Following quality trimming (Trimmomatic v 0.39; Bolger et al ), with reads shorter than 20 bp being discarded and removal of human genes (MetaWRAP; Uritskiy et al ), the clean metagenomic data were assembled into contigs by de novo assembly of each sample sequence using metaSPAdes (SPAdes v.3.13.0; Bankevich et al ). The interactome (i.e., Microcystis and its microbiome) metagenomic assembled genomes (MAGs) were generated for each lake using three tools with default options: MaxBin (v.2.2.6) (Wu et al ), MetaBAT (v. 2.12.1) (Kang et al ), and CONCOCT (v. 1.0.0) (Alneberg et al unpubl.…”
Section: Methodsmentioning
confidence: 99%
“…Following quality trimming (Trimmomatic v 0.39; Bolger et al ), with reads shorter than 20 bp being discarded and removal of human genes (MetaWRAP; Uritskiy et al ), the clean metagenomic data were assembled into contigs by de novo assembly of each sample sequence using metaSPAdes (SPAdes v.3.13.0; Bankevich et al ). The interactome (i.e., Microcystis and its microbiome) metagenomic assembled genomes (MAGs) were generated for each lake using three tools with default options: MaxBin (v.2.2.6) (Wu et al ), MetaBAT (v. 2.12.1) (Kang et al ), and CONCOCT (v. 1.0.0) (Alneberg et al unpubl.…”
Section: Methodsmentioning
confidence: 99%
“…The recently published method 154 DASTool tests a flexible number of different binning methods, evaluates all outcomes and chooses the best bin 155 for each population (Sieber et al 2018). A similar strategy has been utilized in a modular pipeline software 156 called MetaWRAP (Uritskiy et al 2018).…”
Section: Running Title: Curated and Complete Metagenome-assembled Genmentioning
confidence: 99%
“…Bins with a completeness ≥ 50% and contamination ≤ 10% were considered to be “high quality” and were used in the subsequent analyses. (3) The raw abundance ( A j ) of a specific bin in a given sample j was calculated using metaWRAP (Uritskiy et al ) with the following formula: Aj=i=1Nliciji=1Nli …”
Section: Methodsmentioning
confidence: 99%