| 摘要 |
<p>Exemplary embodiments provide methods and systems for iterative clustering of sequence reads for error correction. Aspects of the exemplary embodiment include receiving a set of sequence reads and associated quality values; grouping the sequence reads into a set of initial clusters based on sequence similarity; generating a cluster consensus for each of the initial clusters; iteratively improving the clustering based on the cluster consensus and the quality values associated with the sequence reads; and generating and outputting a final cluster consensus for each of the clusters.</p> |
