Evidence map›Paper›PMID 38965579›Full record

ArticleGenome biology2024

VirRep: a hybrid language representation learning framework for identifying viruses from human gut metagenomes.

Yanqi Dong, Wei-Hua Chen, Xing-Ming Zhao

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Alignment-freeJournal of clinical microbiology · 2026
    Article
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  6. Alignment-Free Guided Design of a Pan-Orthoflavivirus RT-qPCR Assay.bioRxiv : the preprint server for biology · 2026
    Article
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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.

Yanqi DongDepartment of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
Wei-Hua ChenKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China. weihuachen@hust.edu.cn.
Xing-Ming ZhaoDepartment of Neurology, Zhongshan Hospital and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China. xmzhao@fudan.edu.cn.ORCID 0000-0002-4531-3970

Funding

Hainan Province Science and Technology Special Fund ZDYF2024SHFZ058Lingang Laboratory & National Key Laboratory of Human Factors Engineering Joint Grant LG-TKN-202203-01Major Project of Guangzhou National Laboratory GZNL2024A01003National Key R&D Program of China 2020YFA0712403National Key R&D Program of China 2023YFF1204800National Natural Science Foundation of China 61932008National Natural Science Foundation of China T2225015Shanghai Science and Technology Commission Program 23JS1410100
6 · The paper itself

Abstract

Identifying viruses from metagenomes is a common step to explore the virus composition in the human gut. Here, we introduce VirRep, a hybrid language representation learning framework, for identifying viruses from human gut metagenomes. VirRep combines a context-aware encoder and an evolution-aware encoder to improve sequence representation by incorporating k-mer patterns and sequence homologies. Benchmarking on both simulated and real datasets with varying viral proportions demonstrates that VirRep outperforms state-of-the-art methods. When applied to fecal metagenomes from a colorectal cancer cohort, VirRep identifies 39 high-quality viral species associated with the disease, many of which cannot be detected by existing methods.

Indexed as

Gastrointestinal MicrobiomeMetagenomeColorectal NeoplasmsFecesHumansMetagenomicsSoftwareVirusesHuman gut metagenomesLanguage representation learningVirus identification

Identifiers

PMID38965579
PMCPMC11229495

What OpenQuestion holds

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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.