Evidence map›Paper›PMID 30808380›Full record

ArticleGenome biology2019

bin3C: exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes.

Matthew Z DeMaere, Aaron E Darling

Abstract readValidation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
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  5. Gut virome dynamics: from commensal to critical player in health and disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  6. Article
  7. The chromosomal genome sequence of the spongeWellcome open research · 2026
    Article
  8. Review
  9. Mutualism between degraders and nondegraders stabilizes the function of a natural biopolymer-degrading community.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The chromosomal genome sequence of the spongeWellcome open research · 2025
    Article
  18. Article
  19. Article
  20. Article

3 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

2 authors.

Matthew Z DeMaereThe ithree institute, University of Technology Sydney, 15 Broadway, Ultimo, 2007, NSW, Australia. matthew.demaere@uts.edu.au.ORCID http://orcid.org/0000-0002-7601-5108
Aaron E DarlingThe ithree institute, University of Technology Sydney, 15 Broadway, Ultimo, 2007, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most microbes cannot be easily cultured, and metagenomics provides a means to study them. Current techniques aim to resolve individual genomes from metagenomes, so-called metagenome-assembled genomes (MAGs). Leading approaches depend upon time series or transect studies, the efficacy of which is a function of community complexity, target abundance, and sequencing depth. We describe an unsupervised method that exploits the hierarchical nature of Hi-C interaction rates to resolve MAGs using a single time point. We validate the method and directly compare against a recently announced proprietary service, ProxiMeta. bin3C is an open-source pipeline and makes use of the Infomap clustering algorithm ( https://github.com/cerebis/bin3C ).

Indexed as

Genome, BacterialSoftwareComputer SimulationFecesHumansMetagenomicsMicrobiotaSequence Analysis, DNAClusteringCommunity detectionHi-CMetagenome-assembled genomeMetagenomicsNext-generation sequencing

Identifiers

PMID30808380
PMCPMC6391755

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.