Evidence map›Paper›PMID 39082646›Full record

ReviewBriefings in bioinformatics2024

Solving genomic puzzles: computational methods for metagenomic binning.

Vijini Mallawaarachchi, Anuradha Wickramarachchi, Hansheng Xue, Bhavya Papudeshi, Susanna R Grigson, George Bouras, Rosa E Prahl, Anubhav Kaphle, Andrey Verich, Berenice Talamantes-Becerra and 2 more

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Bioinformatics advances · 2026
    Article
  11. Article
  12. Review
  13. Computational Metagenomics: State of the Art.International journal of molecular sciences · 2025
    Review
  14. Review
  15. Article
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

12 authors.

Vijini MallawaarachchiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0002-2651-8719
Anuradha WickramarachchiAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Westmead, NSW 2145, Australia.ORCID 0000-0003-4160-5965
Hansheng XueSchool of Computing, National University of Singapore, Singapore 119077, Singapore.ORCID 0000-0002-5263-4844
Bhavya PapudeshiFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0001-5359-3100
Susanna R GrigsonFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0003-4738-3451
George BourasAdelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0002-5885-4186
Rosa E PrahlAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Westmead, NSW 2145, Australia.ORCID 0000-0003-1243-9881
Anubhav KaphleAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Westmead, NSW 2145, Australia.ORCID 0000-0002-1972-6819
Andrey VerichAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Westmead, NSW 2145, Australia.ORCID 0000-0002-3226-812X
Berenice Talamantes-BecerraAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Westmead, NSW 2145, Australia.ORCID 0000-0001-6952-5276
Elizabeth A DinsdaleFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0002-2177-203X
Robert A EdwardsFlinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0001-8383-8949

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
Australian Research Council DP220102915NIDDK NIH HHS RC2 DK116713NIDDK NIH HHS RC2DK116713NIH HHS
6 · The paper itself

Abstract

Metagenomics involves the study of genetic material obtained directly from communities of microorganisms living in natural environments. The field of metagenomics has provided valuable insights into the structure, diversity and ecology of microbial communities. Once an environmental sample is sequenced and processed, metagenomic binning clusters the sequences into bins representing different taxonomic groups such as species, genera, or higher levels. Several computational tools have been developed to automate the process of metagenomic binning. These tools have enabled the recovery of novel draft genomes of microorganisms allowing us to study their behaviors and functions within microbial communities. This review classifies and analyzes different approaches of metagenomic binning and different refinement, visualization, and evaluation techniques used by these methods. Furthermore, the review highlights the current challenges and areas of improvement present within the field of research.

Indexed as

MetagenomicsAlgorithmsComputational BiologyGenomicsMetagenomebioinformaticsmetagenomic binningmetagenomicsmicroorganisms

Identifiers

PMID39082646
PMCPMC11289683

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.