CONTEXT-DEPENDENT BASE CALLING

The technology disclosed is directed to context-dependent base calling. The technology disclosed describes a system including memory storing k-mer-specific centroids for k-mers. The k-mer-specific centroids are learned by training a base calling pipeline to represent base calls of an already base called sequence in k-mer-specific time series, transform the k-mer-specific time series into predicted k-mer-specific centroids, merge the predicted k-mer-specific centroids on a sequencing cycle-by-sequencing cycle basis to generate predicted per-sequencing cycle intensity values, determine a training loss (e.g., a transformation loss) based on comparing the predicted per-sequencing cycle intensity values against known intensity values of the base calls, update the predicted k-mer-specific centroids based on the determined training loss, and store the updated centroids as the k-mer-specific centroids. The system also includes runtime logic that uses the k-mer-specific centroids to base call bases in a yet-to-be base called sequence in dependence upon k-mer context.