Literature DB >> 34554657

Automation of QIIME2 Metagenomic Analysis Platform.

Calvin Fung1, Mathew Rusling1, Thomas Lampeter2, Charles Love1, Anisha Karim1, Christian Bongiorno1, Li-Lian Yuan1,3.   

Abstract

QIIME is a widely used, open-source microbiome analysis software package that converts raw sequence data into interpretable visualizations and statistical results. QIIME2 has recently succeeded QIIME1, becoming the most updated platform. The protocols in this article describe our effort in automating core functions of QIIME2, using datasets available at docs.qiime2.org. While these specific examples are microbial 16S rRNA gene sequences, our automation can be easily applied to other types of QIIME2 analysis.
© 2021 Wiley Periodicals LLC. Basic Protocol 1: Preparing files and folders Support Protocol 1: Preparing your data for QAP Support Protocol 2: Understanding automated options Basic Protocol 2: Importing into QIIME Basic Protocol 3: DADA2: Filtering, trimming, merging pairs Basic Protocol 4: Performing core metrics Basic Protocol 5: Sample filtering by metadata Basic Protocol 6: Alpha diversity metrics Basic Protocol 7: Cross-sectional beta diversity Basic Protocol 8: Longitudinal feature volatility Basic Protocol 9: Sample classification. © 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  QIIME2; automation; bioinformatics; metagenomics pipeline

Mesh:

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Year:  2021        PMID: 34554657     DOI: 10.1002/cpz1.254

Source DB:  PubMed          Journal:  Curr Protoc        ISSN: 2691-1299


  3 in total

1.  Identification and profiling of the community structure and potential function of bacteria from the fruiting bodies of Sanghuangporus vaninii.

Authors:  Yan-Jun Ma; Wei-Qian Gao; Xue-Tai Zhu; Wei-Bao Kong; Fan Zhang; Hong-Qin Yang
Journal:  Arch Microbiol       Date:  2022-08-18       Impact factor: 2.667

2.  Community composition and trophic mode diversity of fungi associated with fruiting body of medicinal Sanghuangporus vaninii.

Authors:  Yanjun Ma; Weiqian Gao; Fan Zhang; Xuetai Zhu; Weibao Kong; Shiquan Niu; Kun Gao; Hongqin Yang
Journal:  BMC Microbiol       Date:  2022-10-19       Impact factor: 4.465

3.  Cross-Cohort Microbiome Analysis of Salivary Biomarkers in Patients With Type 2 Diabetes Mellitus.

Authors:  Chuqi Gao; Ying Guo; Feng Chen
Journal:  Front Cell Infect Microbiol       Date:  2022-01-25       Impact factor: 5.293

  3 in total

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