Evidence map›Paper›PMID 38868346›Full record

ArticleiMeta2023

EasyAmplicon: An easy-to-use, open-source, reproducible, and community-based pipeline for amplicon data analysis in microbiome research.

Yong-Xin Liu, Lei Chen, Tengfei Ma, Xiaofang Li, Maosheng Zheng, Xin Zhou, Liang Chen, Xubo Qian, Jiao Xi, Hongye Lu and 12 more

Abstract read
In one paragraph

Article in iMeta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 1 pooled it
–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

131 citing papers in PubMed, 1 synthesis or guideline pooled it.

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71 more citing papers are in PubMed but not listed here.

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

22 authors.

Yong-Xin LiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen Guangdong China.ORCID https://orcid.org/0000-0003-1832-9835
Lei ChenDepartment of Vascular Surgery, Fu Xing Hospital Capital Medical University Beijing China.
Tengfei MaState Key Laboratory of Grassland Agro-ecosystems, Centre for Grassland Microbiome, College of Pastoral Agricultural Science and Technology Lanzhou University Lanzhou Gansu China.ORCID https://orcid.org/0000-0003-1426-1060
Xiaofang LiCentre for Agricultural Resources Research, Institute of Genetics and Developmental Biology Chinese Academy of Sciences Shijiazhuang China.ORCID 0000-0003-1554-4484
Maosheng ZhengCollege of Environmental Science and Engineering North China Electric Power University Beijing China.ORCID 0000-0003-2633-7763
Xin ZhouInstitute of Microbiology Chinese Academy of Sciences Beijing China.ORCID 0000-0003-3143-2079
Liang ChenInstitute of Microbiology Chinese Academy of Sciences Beijing China.ORCID 0000-0002-5706-6559
Xubo QianDepartment of Pediatrics, Affiliated Jinhua Hospital Zhejiang University School of Medicine Jinhua Zhejiang China.
Jiao XiCollege of Natural Resources and Environment Northwest A&F University Yangling Shaanxi China.ORCID 0000-0001-5428-7391
Hongye LuKey Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Clinical Research Center for Oral Diseases of Zhejiang Province, School of Stomatology, Zhejiang University School of Medicine Stomatology Hospital Hangzhou Zhejiang China.ORCID 0000-0003-4079-9681
Huiluo CaoDepartment of Microbiology University of Hong Kong Hong Kong China.
Xiaoya MaCenter of Excellence in Fungal Research Mae Fah Luang University Chiang Rai Thailand.ORCID 0000-0002-2204-1992
Bian BianGraduate School of Frontier Sciences University of Tokyo Chiba Japan.
Pengfan ZhangDepartment of Plant-Microbe Interactions Max Planck Institute for Plant Breeding Research Cologne Germany.
Jiqiu WuAPC Microbiome Institute University College Cork Cork Ireland.ORCID 0000-0001-5078-7620
Ren-You GanSingapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science Technology and Research (A*STAR) Singapore Singapore.
Baolei JiaDepartment of Life Science Chung-Ang University Seoul Republic of Korea.
Linyang SunShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen Guangdong China.
Zhicheng JuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen Guangdong China.ORCID 0000-0002-2562-5774
Yunyun GaoShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen Guangdong China.ORCID 0000-0003-3389-9385
Tao WenThe Key Laboratory of Plant Immunity Jiangsu Provincial Key Lab for Organic Solid Waste Utilization Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers Nanjing Agricultural University Nanjing China.ORCID 0000-0003-0102-0487
Tong ChenNational Resource Center for Chinese Materia Medica China Academy of Chinese Medical Sciences Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is difficult for beginners to learn and use amplicon analysis software because there are so many software tools to choose from, and all of them need multiple steps of operation. Herein, we provide a cross-platform, open-source, and community-supported analysis pipeline EasyAmplicon. EasyAmplicon has most of the modules needed for an amplicon analysis, including data quality control, merging of paired-end reads, dereplication, clustering or denoising, chimera detection, generation of feature tables, taxonomic diversity analysis, compositional analysis, biomarker discovery, and publication-quality visualization. EasyAmplicon includes more than 30 cross-platform modules and R packages commonly used in the field. All steps of the pipeline are integrated into RStudio, which reduces learning costs, keeps the flexibility of the analysis process, and facilitates personalized analysis. The pipeline is maintained and updated by the authors and editors of WeChat official account "Meta-genome." Our team will regularly release the latest tutorials both in Chinese and English, read the feedback from users, and provide help to them in the WeChat account and GitHub. The pipeline can be deployed on various platforms, and the installation time is less than half an hour. On an ordinary laptop, the whole analysis process for dozens of samples can be completed within 3 h. The pipeline is available at GitHub (https://github.com/YongxinLiu/EasyAmplicon) and Gitee (https://gitee.com/YongxinLiu/EasyAmplicon).

Indexed as

ampliconbioinformaticsmetagenomemicrobiomepipelinevisualization

Identifiers

PMID38868346
PMCPMC10989771

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.