LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets
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Abstract
The study of cell-population heterogeneity in a range of biological systems, from viruses to bacterial isolates to tumor samples, has been transformed by recent advances in sequencing throughput. While the high-coverage afforded can be used, in principle, to identify very rare variants in a population, existing ad hoc approaches frequently fail to distinguish true variants from sequencing errors. We report a method (LoFreq) that models sequencing run-specific error rates to accurately call variants occurring in
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Keywords
- Biology
- Exome sequencing
- Computational biology
- Deep sequencing
- Population
- Exome
- Single cell sequencing
- DNA sequencing
UN Sustainable Development Goals
- Good health and well-being
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