Ultra-deep sequencing for the analysis of viral populations
作者： Niko Beerenwinkel , Osvaldo Zagordi
DOI: 10.1016/J.COVIRO.2011.07.008
关键词:
摘要: Next-generation sequencing allows for cost-effective probing of virus populations at an unprecedented level detail. The massively parallel approach can detect low-frequency mutations and it provides a snapshot the entire population. However, analyzing ultra-deep data obtained from diverse is challenging because PCR errors short read lengths, such that experiment only indirect evidence underlying viral population structure. Recent computational statistical advances allow accommodating some confounding factors, including methods error correction, haplotype reconstruction, frequency estimation. With these be more reliably used to analyze, in quantitative manner, genetic diversity populations.
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