Evidence map›Paper›PMID 34119695›Full record

ArticleGenomics, proteomics & bioinformatics2021

CVTree: A Parallel Alignment-free Phylogeny and Taxonomy Tool Based on Composition Vectors of Genomes.

Guanghong Zuo

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  5. Genome-wide investigation of outbreak-associatedFrontiers in microbiology · 2026
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  11. Genome Annotation.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Article
  13. Whole genome sequence data ofData in brief · 2024
    Article
  14. Unveiling the multifaceted potential ofMicrobiology spectrum · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. International journal of systematic and evolutionary microbiology · 2024
    Article
  19. International journal of systematic and evolutionary microbiology · 2024
    Article
  20. 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

1 author.

Guanghong ZuoT-Life Research Center, Department of Physics, Fudan University, Shanghai 200433, China. Electronic address: ghzuo@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Composition Vector Tree (CVTree) is an alignment-free algorithm to infer phylogenetic relationships from genome sequences. It has been successfully applied to study phylogeny and taxonomy of viruses, prokaryotes, and fungi based on the whole genomes, as well as chloroplast genomes, mitochondrial genomes, and metagenomes. Here we presented the standalone software for the CVTree algorithm. In the software, an extensible parallel workflow for the CVTree algorithm was designed. Based on the workflow, new alignment-free methods were also implemented. And by examining the phylogeny and taxonomy of 13,903 prokaryotes based on 16S rRNA sequences, we showed that CVTree software is an efficient and effective tool for studying phylogeny and taxonomy based on genome sequences. The code of CVTree software can be available at https://github.com/ghzuo/cvtree.

Indexed as

GenomeSoftwareAlgorithmsPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SAlignment-freeComposition vectorCVTreeDissimilarity matrixPhylogenyTaxonomy

Identifiers

PMID34119695
PMCPMC9040009

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.