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2015 ; 25
(7
): 1043-55
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CheckM: assessing the quality of microbial genomes recovered from isolates,
single cells, and metagenomes
#MMPMID25977477
Parks DH
; Imelfort M
; Skennerton CT
; Hugenholtz P
; Tyson GW
Genome Res
2015[Jul]; 25
(7
): 1043-55
PMID25977477
show ga
Large-scale recovery of genomes from isolates, single cells, and metagenomic data
has been made possible by advances in computational methods and substantial
reductions in sequencing costs. Although this increasing breadth of draft genomes
is providing key information regarding the evolutionary and functional diversity
of microbial life, it has become impractical to finish all available reference
genomes. Making robust biological inferences from draft genomes requires accurate
estimates of their completeness and contamination. Current methods for assessing
genome quality are ad hoc and generally make use of a limited number of "marker"
genes conserved across all bacterial or archaeal genomes. Here we introduce
CheckM, an automated method for assessing the quality of a genome using a broader
set of marker genes specific to the position of a genome within a reference
genome tree and information about the collocation of these genes. We demonstrate
the effectiveness of CheckM using synthetic data and a wide range of isolate-,
single-cell-, and metagenome-derived genomes. CheckM is shown to provide accurate
estimates of genome completeness and contamination and to outperform existing
approaches. Using CheckM, we identify a diverse range of errors currently
impacting publicly available isolate genomes and demonstrate that genomes
obtained from single cells and metagenomic data vary substantially in quality. In
order to facilitate the use of draft genomes, we propose an objective measure of
genome quality that can be used to select genomes suitable for specific gene- and
genome-centric analyses of microbial communities.