Evidence map›Paper›PMID 38717808›Full record

ArticleMicrobial genomics2024

Hybracter: enabling scalable, automated, complete and accurate bacterial genome assemblies.

George Bouras, Ghais Houtak, Ryan R Wick, Vijini Mallawaarachchi, Michael J Roach, Bhavya Papudeshi, Lousie M Judd, Anna E Sheppard, Robert A Edwards, Sarah Vreugde

Abstract read
In one paragraph

Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Article
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  4. Genome sequencing and hybrid assembly of novelMicrobiology resource announcements · 2026
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  6. Genomic diversity ofMicrobial genomics · 2026
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  10. Article
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  12. Article
  13. Review
  14. International journal of systematic and evolutionary microbiology · 2026
    Article
  15. Article
  16. Genome sequence ofMicrobiology resource announcements · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

George BourasAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.
Ghais HoutakAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.
Ryan R WickDepartment of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Vijini MallawaarachchiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, Australia.
Michael J RoachFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, Australia.
Bhavya PapudeshiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, Australia.
Lousie M JuddDepartment of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Anna E SheppardSchool of Biological Sciences, The University of Adelaide, Adelaide, Australia.
Robert A EdwardsFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, Australia.
Sarah VreugdeAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.

Funding

Computational and Experimental Resources for Virome Analysis in Inflammatory Bowel Disease (CERVAID)RC2DK116713 · NIDDK · WASHINGTON UNIVERSITY · PI WANG, DAVID · 2019 to 2023
$8.9M
NIDDK NIH HHS RC2 DK116713
6 · The paper itself

Abstract

Improvements in the accuracy and availability of long-read sequencing mean that complete bacterial genomes are now routinely reconstructed using hybrid (i.e. short- and long-reads) assembly approaches. Complete genomes allow a deeper understanding of bacterial evolution and genomic variation beyond single nucleotide variants. They are also crucial for identifying plasmids, which often carry medically significant antimicrobial resistance genes. However, small plasmids are often missed or misassembled by long-read assembly algorithms. Here, we present Hybracter which allows for the fast, automatic and scalable recovery of near-perfect complete bacterial genomes using a long-read first assembly approach. Hybracter can be run either as a hybrid assembler or as a long-read only assembler. We compared Hybracter to existing automated hybrid and long-read only assembly tools using a diverse panel of samples of varying levels of long-read accuracy with manually curated ground truth reference genomes. We demonstrate that Hybracter as a hybrid assembler is more accurate and faster than the existing gold standard automated hybrid assembler Unicycler. We also show that Hybracter with long-reads only is the most accurate long-read only assembler and is comparable to hybrid methods in accurately recovering small plasmids.

Indexed as

AlgorithmsGenome, BacterialBacteriaGenomicsHigh-Throughput Nucleotide SequencingPlasmidsSequence Analysis, DNASoftwareassemblylong-readsplasmids

Identifiers

PMID38717808
PMCPMC11165638

What OpenQuestion holds

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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.