Evidence map›Paper›PMID 38867729›Full record

ArticleiMeta2022

Parallel-Meta Suite: Interactive and rapid microbiome data analysis on multiple platforms.

Yuzhu Chen, Jian Li, Yufeng Zhang, Mingqian Zhang, Zheng Sun, Gongchao Jing, Shi Huang, Xiaoquan Su

Abstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  17. Sustained bacterial NNature communications · 2024
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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.

Yuzhu ChenCollege of Computer Science and Technology Qingdao University Qingdao Shandong China.
Jian LiCollege of Computer Science and Technology Qingdao University Qingdao Shandong China.
Yufeng ZhangCollege of Computer Science and Technology Qingdao University Qingdao Shandong China.
Mingqian ZhangCollege of Computer Science and Technology Qingdao University Qingdao Shandong China.
Zheng SunSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong China.
Gongchao JingSingle-Cell Center, Qingdao Institute of BioEnergy and Bioprocess Technology Chinese Academy of Sciences Qingdao Shandong China.
Shi HuangFaculty of Dentistry The University of Hong Kong Hong Kong Hong Kong SAR China.
Xiaoquan SuCollege of Computer Science and Technology Qingdao University Qingdao Shandong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive microbiome sequencing data has been generated, which elucidates associations between microbes and their environmental phenotypes such as host health or ecosystem status. Outstanding bioinformatic tools are the basis to decipher the biological information hidden under microbiome data. However, most approaches placed difficulties on the accessibility to nonprofessional users. On the other side, the computing throughput has become a significant bottleneck of many analytical pipelines in processing large-scale datasets. In this study, we introduce Parallel-Meta Suite (PMS), an interactive software package for fast and comprehensive microbiome data analysis, visualization, and interpretation. It covers a wide array of functions for data preprocessing, statistics, visualization by state-of-the-art algorithms in a user-friendly graphical interface, which is accessible to diverse users. To meet the rapidly increasing computational demands, the entire procedure of PMS has been optimized by a parallel computing scheme, enabling the rapid processing of thousands of samples. PMS is compatible with multiple platforms, and an installer has been integrated for full-automatic installation.

Indexed as

microbiomemultiplatformparallel computingvisualizationworkflow

Identifiers

PMID38867729
PMCPMC10989749

What OpenQuestion holds

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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.