Evidence map›Paper›PMID 39773409›Full record

ArticleBMC bioinformatics2025

DFAST_QC: quality assessment and taxonomic identification tool for prokaryotic Genomes.

Mohamed Elmanzalawi, Takatomo Fujisawa, Hiroshi Mori, Yasukazu Nakamura, Yasuhiro Tanizawa

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Complete genome sequence of a tetracycline-resistant bacterium,Microbiology resource announcements · 2026
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  10. Complete genome sequence ofMicrobiology resource announcements · 2026
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  11. Complete genome sequence ofMicrobiology resource announcements · 2026
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  12. Draft genome sequences of fiveMicrobiology resource announcements · 2026
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  14. Draft genome sequence ofMicrobiology resource announcements · 2025
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  16. Genomic sequences of free-livingMicrobiology resource announcements · 2025
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  17. Complete genome sequence of the firstMicrobiology resource announcements · 2025
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  18. Complete genomic sequences ofMicrobiology resource announcements · 2025
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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.

Mohamed ElmanzalawiDepartment of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, 411-8540, Japan.
Takatomo FujisawaDepartment of Informatics, National Institute of Genetics, Mishima, 411-8540, Japan.
Hiroshi MoriDepartment of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, 411-8540, Japan.
Yasukazu NakamuraDepartment of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, 411-8540, Japan.
Yasuhiro TanizawaDepartment of Genetics, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Mishima, 411-8540, Japan. yt@nig.ac.jp.

Funding

AMED JP23wm0225029JSPS KAKENHI JP22H04925JST NBDC JPMJND2206
6 · The paper itself

Abstract

backgroundAccurate taxonomic classification in genome databases is essential for reliable biological research and effective data sharing. Mislabeling or inaccuracies in genome annotations can lead to incorrect scientific conclusions and hinder the reproducibility of research findings. Despite advances in genome analysis techniques, challenges persist in ensuring precise and reliable taxonomic assignments. Existing tools for genome verification often involve extensive computational resources or lengthy processing times, which can limit their accessibility and scalability for large-scale projects. There is a need for more efficient, user-friendly solutions that can handle diverse datasets and provide accurate results with minimal computational demands. This work aimed to address these challenges by introducing a novel tool that enhances taxonomic accuracy, offers a user-friendly interface, and supports large-scale analyses.

resultsWe introduce a novel tool for the quality control and taxonomic classification tool of prokaryotic genomes, called DFAST_QC, which is available as both a command-line tool and a web service. DFAST_QC can quickly identify species based on NCBI and GTDB taxonomies by combining genome-distance calculations using MASH with ANI calculations using Skani. We evaluated DFAST_QC's performance in species identification and found it to be highly consistent with existing taxonomic standards, successfully identifying species across diverse datasets. In several cases, DFAST_QC identified potential mislabeling of species names in public databases and highlighted discrepancies in current classifications, demonstrating its capability to uncover errors and enhance taxonomic accuracy. Additionally, the tool's efficient design allows it to operate smoothly on local machines with minimal computational requirements, making it a practical choice for large-scale genome projects.

conclusionsDFAST_QC is a reliable and efficient tool for accurate taxonomic identification and genome quality control, well-suited for large-scale genomic studies. Its compatibility with limited-resource environments, combined with its user-friendly design, ensures seamless integration into existing workflows. DFAST_QC's ability to refine species assignments in public databases highlights its value as a complementary tool for maintaining and enhancing the accuracy of taxonomic data in genomic research. The web version is available at https://dfast.ddbj.nig.ac.jp/dqc/submit/ , and the source code for local use can be found at https://github.com/nigyta/dfast_qc .

Indexed as

SoftwareDatabases, GeneticGenome, BacterialGenomicsProkaryotic CellsQuality ControlANIDatabaseINSDCProkaryoteTaxonomy

Identifiers

PMID39773409
PMCPMC11705978

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.