Evidence map›Paper›PMID 36720887›Full record

ArticleNature communications2023

ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data.

Yuxuan Du, Jed A Fuhrman, Fengzhu Sun

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Why did some viruses evolve to be giants while others did not?Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. Computational Microbial and Viral Ecology Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. Review
  12. Single cell viral tagging ofGut microbes · 2025
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  17. Review
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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

3 authors.

Yuxuan DuDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-0568-3838
Jed A FuhrmanDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-2361-1985
Fengzhu SunDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA. fsun@usc.edu.ORCID 0000-0002-8552-043X

Funding

Computational Studies of Virus-host Interactions Using Metagenomics Data and ApplicationsR01GM120624 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AHLGREN, NATHAN, SUN, FENGZHU · 2017 to 2020
$1.7M
Adaptive Reproducible High-Dimensional Nonlinear Inference for Big Biological DataR01GM131407 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAN, YINGYING · 2018 to 2021
$1.1M
NIGMS NIH HHS R01 GM120624NIGMS NIH HHS R01 GM131407
6 · The paper itself

Abstract

The introduction of high-throughput chromosome conformation capture (Hi-C) into metagenomics enables reconstructing high-quality metagenome-assembled genomes (MAGs) from microbial communities. Despite recent advances in recovering eukaryotic, bacterial, and archaeal genomes using Hi-C contact maps, few of Hi-C-based methods are designed to retrieve viral genomes. Here we introduce ViralCC, a publicly available tool to recover complete viral genomes and detect virus-host pairs using Hi-C data. Compared to other Hi-C-based methods, ViralCC leverages the virus-host proximity structure as a complementary information source for the Hi-C interactions. Using mock and real metagenomic Hi-C datasets from several different microbial ecosystems, including the human gut, cow fecal, and wastewater, we demonstrate that ViralCC outperforms existing Hi-C-based binning methods as well as state-of-the-art tools specifically dedicated to metagenomic viral binning. ViralCC can also reveal the taxonomic structure of viruses and virus-host pairs in microbial communities. When applied to a real wastewater metagenomic Hi-C dataset, ViralCC constructs a phage-host network, which is further validated using CRISPR spacer analyses. ViralCC is an open-source pipeline available at https://github.com/dyxstat/ViralCC .

Indexed as

BacteriophagesMicrobiotaAnimalsCattleFemaleGenome, ViralHumansMetagenomeMetagenomicsWastewaterWastewater

Identifiers

PMID36720887
PMCPMC9889337

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.