An Advanced Statistical Method of Multiple Sequence Alignment

• Activity Number: 668
• Type: Contributed
• Date/Time: Thursday, August 2, 2012 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistics in Epidemiology
• Author(s): Mian Arif Shams Adnan*+ and Md Shamsuddin
• Companies: Jahangirnagar University and King Abdulaziz University
• Keywords: Gap penalty ; Matrix of chi-squares ; Matrix of p-values ; Transition probabiity

Abstract

Motivation: Although sequence alignment has become one of the most influential techniques to discover the most probable functional and structural form of any evolutionary biological system, the study of sequence alignment can be missleaded very frequently either by introducing gap penalty calculation or by algorithm accuracy level. Results: A method of multiple sequence alignment based on the difference among transition probabilities of the multiple sequences has been developed which is relatively complete and invariant to the aforementioned problems. It accomplishes not only an overall decision of the significant dissimilarity or similarity but also the dissimilarity or similarity of all possible individual and group wise transitions that help the biotechnologists to quickly identify the portion of the total infrastructure of the entire transitions that is significantly differing from those of the other sequences and detect the core fact(s) for possible differences between bio-organisms. Hence it reduces the incompleteness due to the comparison among the multiple sample sequences from the several populations.