The invention relates to the technical field of
bioinformatics and high-
throughput sequencing data analysis, in particular to a
genome anomaly detection system and method based on a VAF distribution
heat map. The method comprises the following steps: obtaining to-be-detected
genome sample data and corresponding
reference genome sample data, carrying out folding
processing on a VAF value, carrying out two-dimensional binning to obtain a counting matrix, carrying out
Gaussian smoothing to construct a VAF distribution
heat map, normalizing the counting matrix into a probability matrix,
smoothing the probability matrix, setting LFC of a low coverage area as NaN, constructing a
mask, screening connected domains, and sorting according to positions. Merging intervals with small gaps or overlapped intervals, and outputting a
BED format two-dimensional abnormal rectangular interval; according to the method, a detection result consistent with that of mature CNVkit / UPDio analysis is obtained, and various anomaly types such as
whole chromosome anomaly, chimeric deletion and focal UPD can be accurately identified.