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Updated: Apr 16, 2026

Chromatin Immunoprecipitation of Murine Brown Adipose Tissue
Published on: November 21, 2018
Quality scores for 32,000 genomes.
Miriam L Land1, Doug Hyatt2, Se-Ran Jun1
1Comparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, P.O. Box 2008, MS 6420, Oak Ridge, TN 37831-6420, USA.
A new quality score for over 30,000 microbial genomes indicates most are suitable for comparative genomics. Sequencing read length, not depth, best predicts genome quality, with most genomes containing essential genes.
Area of Science:
- Microbial genomics
- Bioinformatics
- Comparative genomics
Background:
- Over 80% of microbial genomes in public databases are of draft quality.
- This study assessed over 30,000 microbial DNA sequences from multiple public databases.
- Focus on complete, draft, and Sequence Read Archive genomes.
Purpose of the Study:
- To develop and apply a quality scoring system for microbial genomes.
- To evaluate the suitability of draft genomes for comparative genomics.
- To identify factors influencing genome sequencing quality.
Main Methods:
- Assigned quality scores based on assembly completeness, rRNA and tRNA genes, and 102 conserved prokaryotic genes.
- Analyzed over 30,000 prokaryotic genome sequences.
- Compared genome quality scores against sequencing depth and read length.
Main Results:
- Approximately 88% of genomes received quality scores of 0.8 or higher, indicating suitability for standard comparative genomics.
- Sequencing read length was a better predictor of genome quality than sequencing depth (e.g., >100x coverage).
- Most genomes contained nearly all 102 essential genes, with few exceptions.
Conclusions:
- The developed quality score can establish thresholds for analyzing large-scale genome datasets.
- Identified specific organisms where common analysis tools may underperform, guiding tool improvement.
- Discovered a near absence of tRNA anticodons starting with 'A' in high-quality genomes, a finding with significant implications.
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