Evidence map›Paper›PMID 39953425›Full record

ArticleBMC bioinformatics2025

CamITree: a streamlined software for phylogenetic analysis of viral and mitochondrial genomes.

Peng Sun, Yu Yang, Mengjie Yuan, Qin Tang

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

4 authors.

Peng SunCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.
Yu YangCollege of Life Sciences and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
Mengjie YuanCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China.
Qin TangCollege of Fisheries, Huazhong Agricultural University, Wuhan, 430070, China. tangqin@mail.hzau.edu.cn.

Funding

the Fundamental Research Funds for the Central Universities in China 2662022SCQD002the National Key Research and Development Program of the Ministry of Science and Technology 2022YFD2400901
6 · The paper itself

Abstract

backgroundOver the past decade, the continuous and rapid advances in bioinformatics have led to an increasingly common use of molecular sequence comparison for phylogenetic analysis. However, the use of multi-software and cross-platform strategies has increased the complexity of phylogenetic tree estimation. Therefore, the development and application of streamlined phylogenetic analysis tools are growing in significance in the field of biology. Particularly for genomes with relatively short sequences, there is a lack of simple and integrative tools for phylogenetic analysis.

resultsIn this study, we present CamlTree (Concatenated alignments maximum-likelihood tree), a user-friendly desktop software designed to simplify phylogenetic analysis for viral and mitochondrial genomes, ultimately facilitating related research. CamlTree provides a workflow including gene concatenation (or coalescence), sequence alignment, alignment optimization, and the estimation of phylogenetic trees using both maximum-likelihood (ML) and Bayesian inference (BI) methods. CamlTree was written in TypeScript and developed using the Electron framework. It offers a primarily user-friendly interface based on the React framework.

conclusionsCamlTree software has been released for the Windows OS. It integrates several popular analysis tools to optimize and simplify the process of estimating polygenic phylogenetic trees. The establishment of software can assist researchers in reducing their workload and enhancing data processing efficiency, enabling them to expedite their research progress. The software, along with a detailed user manual, is available at https://github.com/BioCrossCoder/camltree .

Indexed as

Genome, MitochondrialGenome, ViralPhylogenySoftwareBayes TheoremComputational BiologyLikelihood FunctionsSequence AlignmentIntegrationMitochondrionOptimizationPhylogenetic analysisStreamlined workflowVirus

Identifiers

PMID39953425
PMCPMC11829546

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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.