Evidence map›Paper›PMID 37824740›Full record

ArticleBriefings in bioinformatics2023

Qmatey: an automated pipeline for fast exact matching-based alignment and strain-level taxonomic binning and profiling of metagenomes.

Alison K Adams, Brandon D Kristy, Myranda Gorman, Peter Balint-Kurti, G Craig Yencho, Bode A Olukolu

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alison K AdamsDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN 37996, USA.
Brandon D KristyDepartment of Integrative Biology, Michigan State University, East Lansing, MI, USA.
Myranda GormanDepartment of Animal Science, University of Tennessee, Knoxville, TN 37996, USA.
Peter Balint-KurtiDepartment of Entomology and Plant Pathology, NC State University, Raleigh, NC 27695-7613, USA.
G Craig YenchoDepartment of Horticultural Science, NC State University, Raleigh, NC 27695-7609, USA.
Bode A OlukoluDepartment of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN 37996, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomics is a powerful tool for understanding organismal interactions; however, classification, profiling and detection of interactions at the strain level remain challenging. We present an automated pipeline, quantitative metagenomic alignment and taxonomic exact matching (Qmatey), that performs a fast exact matching-based alignment and integration of taxonomic binning and profiling. It interrogates large databases without using metagenome-assembled genomes, curated pan-genes or k-mer spectra that limit resolution. Qmatey minimizes misclassification and maintains strain level resolution by using only diagnostic reads as shown in the analysis of amplicon, quantitative reduced representation and shotgun sequencing datasets. Using Qmatey to analyze shotgun data from a synthetic community with 35% of the 26 strains at low abundance (0.01-0.06%), we revealed a remarkable 85-96% strain recall and 92-100% species recall while maintaining 100% precision. Benchmarking revealed that the highly ranked Kraken2 and KrakenUniq tools identified 2-4 more taxa (92-100% recall) than Qmatey but produced 315-1752 false positive taxa and high penalty on precision (1-8%). The speed, accuracy and precision of the Qmatey pipeline positions it as a valuable tool for broad-spectrum profiling and for uncovering biologically relevant interactions.

Indexed as

MetagenomeMetagenomicsDatabases, FactualSequence Analysis, DNAexact matchingMegaBLASTmetagenomicsmicrobiomereduced representation sequencing

Identifiers

PMID37824740
PMCPMC10569747

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.