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.

Entropy vs self sequence alignment is a Javascript implementation 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.

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.