Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

From: 2SigFinder: the combined use of small-scale and large-scale statistical testing for genomic island detection from a single genome

Fig. 3

Overview of the 2SigFinder algorithm. a The work-flow of the small-scale t-test with large-scale feature selection, in which signatures of the host are extracted using the confidence interval of window variances, and core signatures are selected based on ordered kurtosis. During an iteration, we score each window using the two-sample t-test and selecte the windows whose scores are large enough to be considered to be statistically significant. b The workflow of the large-scale statistical test using dynamic signals from small-scale feature selection. Starting from the higher moments of each tetranucleotide, we select signatures of the host using the confidence interval of window variances and select dynamic core signatures using large sliding windows. During an iteration, we score each sliding long window with an accumulative score and select the windows whose scores are large enough to be consid-ered to be statistically significant

Back to article page