Evidence map›Paper›PMID 37738590›Full record

ArticleBioinformatics (Oxford, England)2023

Phables: from fragmented assemblies to high-quality bacteriophage genomes.

Vijini Mallawaarachchi, Michael J Roach, Przemyslaw Decewicz, Bhavya Papudeshi, Sarah K Giles, Susanna R Grigson, George Bouras, Ryan D Hesse, Laura K Inglis, Abbey L K Hutton and 2 more

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
10.7field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
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  12. Picobirnavirus: how do you find where it's hiding?Critical reviews in microbiology · 2026
    Review
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  14. Gut virome dynamics: from commensal to critical player in health and disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  15. Review
  16. Article
  17. Bioinformatics advances · 2026
    Article
  18. Computational Microbial and Viral Ecology Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Vijini MallawaarachchiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0002-2651-8719
Michael J RoachFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0003-1488-5148
Przemyslaw DecewiczFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0002-5621-7124
Bhavya PapudeshiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0001-5359-3100
Sarah K GilesFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0002-4395-060X
Susanna R GrigsonFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0003-4738-3451
George BourasAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia 5005, Australia.ORCID 0000-0002-5885-4186
Ryan D HesseFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0001-9366-5631
Laura K InglisFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0001-7919-8563
Abbey L K HuttonFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0002-2474-1327
Elizabeth A DinsdaleFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0002-2177-203X
Robert A EdwardsFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia.ORCID 0000-0001-8383-8949
Flinders University · AUWomen's and Children's Health Network · AU

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 DK116713NIDDK NIH HHS RC2DK116713
6 · The paper itself

Abstract

motivationMicrobial communities have a profound impact on both human health and various environments. Viruses infecting bacteria, known as bacteriophages or phages, play a key role in modulating bacterial communities within environments. High-quality phage genome sequences are essential for advancing our understanding of phage biology, enabling comparative genomics studies and developing phage-based diagnostic tools. Most available viral identification tools consider individual sequences to determine whether they are of viral origin. As a result of challenges in viral assembly, fragmentation of genomes can occur, and existing tools may recover incomplete genome fragments. Therefore, the identification and characterization of novel phage genomes remain a challenge, leading to the need of improved approaches for phage genome recovery.

resultsWe introduce Phables, a new computational method to resolve phage genomes from fragmented viral metagenome assemblies. Phables identifies phage-like components in the assembly graph, models each component as a flow network, and uses graph algorithms and flow decomposition techniques to identify genomic paths. Experimental results of viral metagenomic samples obtained from different environments show that Phables recovers on average over 49% more high-quality phage genomes compared to existing viral identification tools. Furthermore, Phables can resolve variant phage genomes with over 99% average nucleotide identity, a distinction that existing tools are unable to make. AVAILABILITY AND IMPLEMENTATION: Phables is available on GitHub at https://github.com/Vini2/phables.

Indexed as

BacteriophagesBacteriaGenome, ViralGenomicsHumansMetagenomeMetagenomics

Identifiers

PMID37738590
PMCPMC10563150
OpenAlexW4386949775

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.