Hyejung Weinmann*
Due to the superior precision of the digitalization process, extensive comparative studies of DNA fingerprints favour automated chip capillary electrophoresis over traditional gel planar electrophoresis. The device resolution and sizing accuracy, however, continue to be a constraint on band size determination. Therefore, band matching continues to be the most important stage in DNA fingerprint analysis. The capacity to discriminate between closely related samples is regrettably greatly diminished by the majority of current approaches, which merely assess the pairwise similarity of the samples and use heuristically computed constant thresholds to assess the maximum permissible band size divergence. This work introduces a novel method based on global multiple band alignments of all samples, with an adaptive threshold obtained from the in-depth migration analysis of numerous actual examples. The suggested method enables accurate automated comparison of DNA fingerprint similarities for in-depth epidemiological research of bacterial strains, assisting in the control of potentially harmful microbial diseases.