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Application Note

The Missing Factor in Reliable Sequencing: Fragmentation Control

Small changes in fragmentation lead to significant shifts in data quality. See the comparison

Insert size—the DNA between sequencing adapters—affects how each fragment lines up during sequencing and how much of it gets read. Inconsistent insert sizes lead to uneven coverage, which makes it harder to detect variants and interpret results with confidence. Fragmentation approaches produce varying levels of insert size consistency. Many labs rely on enzymatic methods, but these often lack precision and produce uneven cuts.

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This application note presents side-by-side data from mechanical and enzymatic fragmentation workflows, applied to blood, saliva, and FFPE (formalin-fixed, paraffin-embedded) samples. It highlights key performance metrics, such as insert size distribution and library conversion, to show how fragmentation control influences sequencing outcomes.


Download this application note to:

  • Review insert size reproducibility across prep methods using CV (%) as the benchmark

  • See library conversion results from a PCR-free, single-tube workflow

  • Understand how fragmentation precision influences variant detection and data interpretation


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