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ViVaMBC: Estimating viral sequence variation in complex populations from illumina deep-sequencing data using model-based clustering
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Deep-sequencing allows for an in-depth characterization of sequence variation in complex populations. However, technology associated errors may impede a powerful assessment of low-frequency mutations. Fortunately, base calls are complemented with quality scores which are derived from a quadruplet of intensities, one channel for each nucleotide type for Illumina sequencing.
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