All Times EDT
Keywords: Chi-square test, Transition Probability
The existing pair-wise sequence alignments suffer from either deciding the appropriate gap penalty or not ensuring more accuracy. The current author inaugurated alternative methods for pair-wise and multiple sequence alignment which do not depend on gap penalty rather the differences between transition probabilities. Several test statistics have been developed for the multiple sequence alignment based on transition volume matrices of several features (like nucleotides, angling, bonding, etc) of sequences.