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Next generation sequencing data of a defined microbial mock community.
Esther Singer1, Bill Andreopoulos1, Robert M Bowers1
1DOE Joint Genome Institute, Walnut Creek, California 94598, USA.
Scientific Data
|September 28, 2016
Summary
Researchers generated metagenomic sequence data from a defined mock community (MBARC-26) of 26 bacteria and archaea. This valuable resource aids in benchmarking genome analysis tools and validating sequencing platforms.
Area of Science:
- Metagenomics
- Bioinformatics
- Genomics
Background:
- Benchmarking genome sequence analysis tools requires defined community data.
- Validating new sequencing technologies necessitates datasets with known error profiles.
Purpose of the Study:
- To generate and describe next-generation metagenomic sequence data for a defined mock community (MBARC-26).
- To provide a resource for evaluating genome assembly, binning tools, and sequencing platforms.
Main Methods:
- Composed a mock community (MBARC-26) of 23 bacterial and 3 archaeal strains with finished genomes.
- Generated short-read Illumina and long-read PacBio SMRT sequencing data for the community.
- Characterized diverse genomic features including GC content, genome size, and abundance.
Main Results:
- Successfully generated comprehensive metagenomic sequence data for MBARC-26.
- The dataset includes strains spanning 10 phyla and 14 classes with varied genomic properties.
- Data encompasses diverse abundance profiles suitable for tool evaluation.
Conclusions:
- The MBARC-26 dataset is a valuable resource for benchmarking bioinformatics tools.
- Enables comparative evaluation of analysis methods without data simulation.
- Facilitates improvements in sequence data analysis and tool development.
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