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A new approach for detecting low-level mutations in next-generation sequence data
We propose a new method that incorporates population re-sequencing data, distribution of reads, and strand bias in detecting low-level mutations. The method can accurately identify low-level mutations down to a level of 2.3%, with an average coverage of 500×, and with a false discovery rate of less...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3446287/ https://www.ncbi.nlm.nih.gov/pubmed/22621726 http://dx.doi.org/10.1186/gb-2012-13-5-r34 |