Evidence map›Paper›PMID 25297886›Full record

ArticleBMC genomics2014

KvarQ: targeted and direct variant calling from fastq reads of bacterial genomes.

Andreas Steiner, David Stucki, Mireia Coscolla, Sonia Borrell, Sebastien Gagneux

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Open-access genomic drug resistance prediction tools forJournal of clinical microbiology · 2026
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  18. Whole-genome sequencing reveals transmission pattern and drug resistance ofFrontiers in cellular and infection microbiology · 2024
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  19. InsideFrontiers in microbiology · 2024
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  20. Article

27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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

5 authors.

Andreas Steiner
David Stucki
Mireia Coscolla
Sonia Borrell
Sebastien GagneuxSwiss Tropical and Public Health Institute, Socinstrasse 57, Basel 4051, Switzerland. sebastien.gagneux@unibas.ch.

Funding

Mycobacterium tuberculosis antigen diversityR01AI090928 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ERNST, JOEL D., GAGNEUX, SEBASTIEN · 2010 to 2014
$3.2M
European Research Council 309540NIAID NIH HHS AI090928NIAID NIH HHS R01 AI090928
6 · The paper itself

Abstract

backgroundHigh-throughput DNA sequencing produces vast amounts of data, with millions of short reads that usually have to be mapped to a reference genome or newly assembled. Both reference-based mapping and de novo assembly are computationally intensive, generating large intermediary data files, and thus require bioinformatics skills that are often lacking in the laboratories producing the data. Moreover, many research and practical applications in microbiology require only a small fraction of the whole genome data.

resultsWe developed KvarQ, a new tool that directly scans fastq files of bacterial genome sequences for known variants, such as single nucleotide polymorphisms (SNP), bypassing the need of mapping all sequencing reads to a reference genome and de novo assembly. Instead, KvarQ loads "testsuites" that define specific SNPs or short regions of interest in a reference genome, and directly synthesizes the relevant results based on the occurrence of these markers in the fastq files. KvarQ has a versatile command line interface and a graphical user interface. KvarQ currently ships with two "testsuites" for Mycobacterium tuberculosis, but new "testsuites" for other organisms can easily be created and distributed. In this article, we demonstrate how KvarQ can be used to successfully detect all main drug resistance mutations and phylogenetic markers in 880 bacterial whole genome sequences. The average scanning time per genome sequence was two minutes. The variant calls of a subset of these genomes were validated with a standard bioinformatics pipeline and revealed >99% congruency.

conclusionKvarQ is a user-friendly tool that directly extracts relevant information from fastq files. This enables researchers and laboratory technicians with limited bioinformatics expertise to scan and analyze raw sequencing data in a matter of minutes. KvarQ is open-source, and pre-compiled packages with a graphical user interface are available at http://www.swisstph.ch/kvarq.

Indexed as

Genome, BacterialSoftwareAlgorithmsBacteriaDrug Resistance, BacterialInternetMycobacterium tuberculosisPhylogenyPolymorphism, Single NucleotideUser-Computer Interface

Identifiers

PMID25297886
PMCPMC4197298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.