NetworkX-based Python library for representing ontologies

This is an application designed in HTML5/Javascript of a scanner that makes a comparison between two methods, namely between Shanon entropy (Information entropy) and self-sequence alignment (Information content). Information entropy (IE) and Information content (IC) are two methods that quantitatively measure information.

Self-sequence alignment represents a novel mathematical model for measuring the information content in biological sequences, such as DNA, RNA, or proteins. Nevertheless, the use of this model is not limited to biological sequences. Thus, any symbol inside a sequence can be considered.

This is a scanner that produces two types of signals. The two signals are calculated from the content of a sliding window. One signal is represented by the self-sequence alignment values and the other is represented by the relative frequency values of Cplus G letters.