AUTOMATICALLY IDENTIFYING FAILURE SOURCES IN NUCLEOTIDE SEQUENCING FROM BASE-CALL-ERROR PATTERNS

Methods, systems, and non-transitory computer readable media are disclosed for accurately and efficiently identifying base-call-error scars or patterns from sequencing data to determine failure sources that contribute to the base-call-error scars or patterns. For example, the disclosed system can utilize a reference genome to determine nucleotide-specific errors within a run of a sequencing pipeline. Based on the co-occurrence of different nucleotide-specific errors, the disclosed system can determine a base-call-error scar. The disclosed system can further determine one or more sample error scars from sample sequencing runs that correlate to the base-call-error scar. Based on the correlation and by utilizing a statistical model, the disclosed system can identify failure sources contributing to the nucleotide-specific errors within the base-call-error scar.