Improvement of Spectral Analysis as a Genomic Analysis Tool

As applied to genomic sequence, spectral analysis is the application of Fourier transforms to binary indicator sequences derived from DNA sequence. After conversion to a color representation, the composition and harmonic properties of a sequence can be visualized. In previous work, these spectra have been used to identify sequence periodicities ranging from small to very large, both known and novel. Spectral analysis also stretches the definition of a sequence repeat by identifying shared periodicities between sequences independent of actual nucleotide composition. Here, we report the implementation of clustering and rendering of spectra as video to improve unsupervised spectral analysis.