Evidence map›Paper›PMID 38898993›Full record

ArticleiMeta2024

Bacmethy: A novel and convenient tool for investigating bacterial DNA methylation pattern and their transcriptional regulation effects.

Ji-Hong Liu, Yizhou Zhang, Ning Zhou, Jiale He, Jing Xu, Zhao Cai, Liang Yang, Yang Liu

Abstract read
In one paragraph

Article in iMeta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Review
  6. Bioinformatics advances · 2026
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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

8 authors.

Ji-Hong LiuMedical Research Center Southern University of Science and Technology Hospital Shenzhen China.
Yizhou ZhangMedical Research Center Southern University of Science and Technology Hospital Shenzhen China.
Ning ZhouClinical Laboratory Southern University of Science and Technology Hospital Shenzhen China.
Jiale HeMedical Research Center Southern University of Science and Technology Hospital Shenzhen China.
Jing XuMedical Research Center Southern University of Science and Technology Hospital Shenzhen China.
Zhao CaiSchool of Medicine, Key University Laboratory of Metabolism and Health of Guangdong Southern University of Science and Technology Shenzhen China.
Liang YangSchool of Medicine, Key University Laboratory of Metabolism and Health of Guangdong Southern University of Science and Technology Shenzhen China.
Yang LiuMedical Research Center Southern University of Science and Technology Hospital Shenzhen China.ORCID 0000-0001-5553-3646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation serves as the primary mode of epigenetic regulation in prokaryotes, particularly through transcriptional regulation. With the rapid implementation of third-generation sequencing technology, we are currently experiencing a golden age of bacterial epigenomics. However, there has been a lack of comprehensive research exploring the versatility and consequential impact of bacterial DNA methylome on cellular and physiological functions. There is a critical need for a user-friendly bioinformatics tool that can effectively characterize DNA methylation modification features and predict the regulation patterns. To address this gap, the current study introduces Bacmethy, an innovative tool that utilizes SMRT-seq data and offers a range of analytical modules. First, the tool classifies methylation sites in the genome, highlighting the distinct regulations present under varying modification fractions and location enrichment. Furthermore, this tool enables us to identify regulatory region methylation and potential

Indexed as

bacteriaDNA methylationSMRT‐seqtranscriptional regulationundermethylation

Identifiers

PMID38898993
PMCPMC11183182

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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.