Evidence map›Paper›PMID 37838689›Full record

ArticleBMC bioinformatics2023

EasyCGTree: a pipeline for prokaryotic phylogenomic analysis based on core gene sets.

Dao-Feng Zhang, Wei He, Zongze Shao, Iftikhar Ahmed, Yuqin Zhang, Wen-Jun Li, Zhe Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 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
9.2field-weighted citation impact, top 1% of its field
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, 60 citations in OpenAlex.

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  19. Identification of a Novel Haloarchaeal SpeciesPolish journal of microbiology · 2025
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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

7 authors at 3 institutions in 2 countries.

Dao-Feng ZhangJiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China. zdf@hhu.edu.cn.
Wei HeJiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China.
Zongze ShaoJiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China. Shaozz@163.com.
Iftikhar AhmedNational Agricultural Research Centre (NARC), Land Resources Research Institute (LRRI), National Culture Collection of Pakistan (NCCP), Islamabad, 45500, Pakistan.
Yuqin ZhangInstitute of Medicinal Biotechnology, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100050, China.
Wen-Jun LiJiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China.
Zhe ZhaoJiangsu Province Engineering Research Center for Marine Bio-resources Sustainable Utilization and College of Oceanography, Hohai University, Nanjing, 210098, China.
Hohai University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPakistan Agricultural Research Council · PK

Funding

China Postdoctoral Science Foundation 2020M671312Innovation Project for Marine Science and Technology of Jiangsu Province JSZRHYKJ202209National Natural Science Foundation of China 31900001
6 · The paper itself

Abstract

backgroundGenome-scale phylogenetic analysis based on core gene sets is routinely used in microbiological research. However, the techniques are still not approachable for individuals with little bioinformatics experience. Here, we present EasyCGTree, a user-friendly and cross-platform pipeline to reconstruct genome-scale maximum-likehood (ML) phylogenetic tree using supermatrix (SM) and supertree (ST) approaches.

resultsEasyCGTree was implemented in Perl programming languages and was built using a collection of published reputable programs. All the programs were precompiled as standalone executable files and contained in the EasyCGTree package. It can run after installing Perl language environment. Several profile hidden Markov models (HMMs) of core gene sets were prepared in advance to construct a profile HMM database (PHD) that was enclosed in the package and available for homolog searching. Customized gene sets can also be used to build profile HMM and added to the PHD via EasyCGTree. Taking 43 genomes of the genus Paracoccus as the testing data set, consensus (a variant of the typical SM), SM, and ST trees were inferred via EasyCGTree successfully, and the SM trees were compared with those inferred via the pipelines UBCG and bcgTree, using the metrics of cophenetic correlation coefficients (CCC) and Robinson-Foulds distance (topological distance). The results suggested that EasyCGTree can infer SM trees with nearly identical topology (distance < 0.1) and accuracy (CCC > 0.99) to those of trees inferred with the two pipelines.

conclusionsEasyCGTree is an all-in-one automatic pipeline from input data to phylogenomic tree with guaranteed accuracy, and is much easier to install and use than the reference pipelines. In addition, ST is implemented in EasyCGTree conveniently and can be used to explore prokaryotic evolutionary signals from a different perspective. The EasyCGTree version 4 is freely available for Linux and Windows users at Github ( https://github.com/zdf1987/EasyCGTree4 ).

Indexed as

Computational BiologyProkaryotic CellsBiological EvolutionHumansPhylogenyProgramming LanguagesCore genePhylogeny inferenceProkaryote taxonomySupermatrixSupertree

Identifiers

PMID37838689
PMCPMC10576351
OpenAlexW4387642427

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.