Data for Paper: Advanced DNA fingerprints genotyping of chip electrophoresis samples

Large-scale comparative studies of DNA fingerprints prefer automated chip capillary electrophoresis instead of conventional gel planar electrophoresis due to the higher precision of the digitalization process. However, the determination of band sizes is still limited by the device resolution and sizing accuracy. Band matching, therefore, remains the key step in DNA fingerprint analysis. Current methods mostly evaluate only the pair similarity of the samples, using heuristically determined constant thresholds to evaluate the maximum allowed band size deviation. Such an approach significantly reduces the ability to distinguish between closely related samples. In this study, a new approach based on global multiple alignments of bands of all samples, with an adaptive threshold derived from the detailed migration analysis of a large number of real samples, is presented. The proposed approach allows accurate automated analysis of DNA fingerprint similarities for extensive epidemiological studies of bacterial strains, thereby helping to prevent the spread of dangerous microbial infections.