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Updated: Mar 12, 2026

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
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mockrobiota: a Public Resource for Microbiome Bioinformatics Benchmarking
Nicholas A Bokulich1, Jai Ram Rideout1, William G Mercurio1
1Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.
Msystems
|November 9, 2016
Summary
Mockrobiota is a new public resource for microbial community data. It aids in validating bioinformatics methods and offers valuable training materials for the omics community.
Area of Science:
- Microbial ecology
- Bioinformatics
- Computational biology
Background:
- Mock communities are essential for validating and optimizing bioinformatics tools used in microbial community analysis.
- Standardized data resources are needed to facilitate method comparisons, enhance transparency, and reduce redundancy in omics research.
Purpose of the Study:
- To introduce mockrobiota, a public resource for sharing, validating, and documenting mock community data.
- To provide a centralized platform for accessing metadata, expected compositions, and links to raw data for various mock communities.
Main Methods:
- The mockrobiota resource aggregates data sets and sample metadata, including expected compositions (taxonomy, gene annotations, reference sequences).
- It links to raw sequencing data for 11 diverse mock community data sets (bacterial, archaeal, eukaryotic) analyzed by high-throughput marker gene sequencing.
Main Results:
- Mockrobiota currently hosts 11 mock community data sets with known species compositions.
- The resource provides metadata indicating the availability of physical sample materials for each community.
Conclusions:
- Mockrobiota facilitates method optimization, cross-study comparisons, and improves transparency and accessibility in microbial community analysis.
- This dynamic resource serves as a valuable tool for bioinformatics education and training, aiming to evolve with the needs of the omics community.
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