🔬 Purpose of Analysis
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Tn-seq / TraDIS / INSeq
Used for mapping transposon insertion sites across the genome.
Recommended coverage: 500× to 1000× -
Native transposon (IS) detection
Detects existing mobile genetic elements such as insertion sequences (IS) or integrons.
Recommended coverage: 30× to 50× -
Structural variant (SV) or mobility analysis
Identifies large insertions, deletions, or mobile element insertions.
Recommended coverage: at least 50× -
Abundance or fitness estimation
Quantifies insertion events under different experimental conditions.
Recommended coverage: 200× to 300× -
Long-read mobile element assembly
Uses technologies like Oxford Nanopore (ONT) or PacBio to resolve repetitive mobile elements.
Recommended coverage: 20× to 30×
🧬 Your Data (Example Samples)
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Sample 1
Total bases: 2.0 Gbp
Mean read length: 8,635 bp
Estimated read count: ~233,000
Approximate genome coverage: ~500× -
Sample 2
Total bases: 2.5 Gbp
Mean read length: 6,851 bp
Estimated read count: ~366,000
Approximate genome coverage: ~625× -
Sample 8
Total bases: 1.26 Gbp
Mean read length: 5,180 bp
Estimated read count: ~243,000
Approximate genome coverage: ~250× -
Sample WT
Total bases: 1.88 Gbp
Mean read length: 10,910 bp
Estimated read count: ~172,000
Approximate genome coverage: ~600×
Assuming an average bacterial genome size of ~4 Mb
✅ Conclusion
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Your sequencing depth ranges from 250× to 625×, which is:
- Ideal for transposon insertion site mapping
- Suitable for detecting low-abundance or rare insertion events
- Adequate for native mobile element discovery
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If your goal is Tn-seq, your current data provides excellent coverage for both insertion site resolution and abundance profiling.
📊 Recommended Sequencing Depths for Transposon Analysis
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Tn-seq / TraDIS: Recommended depth is 500× to 1000×.
This high depth is necessary to ensure adequate coverage across insertion sites and to detect low-frequency transposon insertions. -
Detection of native insertion sequences (IS) / mobile elements: A depth of 30× to 50× is generally sufficient.
This enables reliable identification of naturally occurring transposable elements in bacterial genomes. -
Structural variants (SVs) and comparative genomics: Aim for more than 50× coverage.
Higher coverage improves confidence in detecting large insertions, deletions, or rearrangements during comparative analysis.