Evidence map›Paper›PMID 40027482›Full record

ArticleiMeta2025

Scalable method for exploring phylogenetic placement uncertainty with custom visualizations using

Meijun Chen, Xiao Luo, Shuangbin Xu, Lin Li, Junrui Li, Zijing Xie, Qianwen Wang, Yufan Liao, Bingdong Liu, Wenquan Liang and 5 more

Abstract read
In one paragraph

Article in iMeta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. 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

15 authors.

Meijun ChenDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0003-2486-8106
Xiao LuoDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0009-0006-6226-2964
Shuangbin XuDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0003-3513-5362
Lin LiDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0002-6522-1889
Junrui LiDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0009-0007-6363-0404
Zijing XieDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0002-9592-7049
Qianwen WangDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0003-3553-1162
Yufan LiaoDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0009-0000-0199-5503
Bingdong LiuDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0002-8860-8007
Wenquan LiangDepartment of Cell Biology, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0003-0881-6808
Ke MoDepartment of General Surgery, Zhujiang Hospital Southern Medical University Guangzhou China.ORCID 0009-0003-5910-6299
Qiong SongBioinformation Center of BioInforCloud, YuanDong International Academy of Life Sciences Hong Kong SAR China.ORCID 0009-0005-0184-9078
Xia ChenCentral Laboratory of the Medical Research Center The First Affiliated Hospital of Ningbo University Ningbo China.ORCID 0000-0002-7915-4568
Tommy Tsan-Yuk LamState Key Laboratory of Emerging Infectious Diseases, School of Public Health The University of Hong Kong Hong Kong SAR China.ORCID 0000-0002-9769-1527
Guangchuang YuDepartment of Bioinformatics, School of Basic Medical Sciences Southern Medical University Guangzhou China.ORCID 0000-0002-6485-8781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In metabarcoding research, such as taxon identification, phylogenetic placement plays a critical role. However, many existing phylogenetic placement methods lack comprehensive features for downstream analysis and visualization. Visualization tools often ignore placement uncertainty, making it difficult to explore and interpret placement data effectively. To overcome these limitations, we introduce a scalable approach using

Indexed as

ggtreephylogenetic placementplacement uncertaintytreeiovisualization

Identifiers

PMID40027482
PMCPMC11865327

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.