Illumina, Inc.
Detecting and Filtering Clusters Based on Artificial Intelligence-Predicted Base Calls

Abstract:

The technology disclosed relates to identifying unreliable clusters to improve accuracy and efficiency of base calling. The technology disclosed includes accessing per-cycle cluster data for a plurality of clusters and for a first subset of sequencing cycles of a sequencing run, and base calling each cluster in the plurality of clusters at each sequencing cycle in the first subset of sequencing cycles, including generating per-cycle probability quadruple for each cluster and for each sequencing cycle. The technology disclosed includes determining a filter value for each per-cluster, per-cycle probability quadruple based on the probabilities it identifies, identifying those clusters in the plurality of clusters as unreliable clusters whose sequences of filter values contain at least "N" number of filter values below a threshold "M", and bypassing base calling the unreliable clusters at a remainder of sequencing cycles of the sequencing run.