Multiple alignment analysis on phylogenetic tree of the spread of SARS epidemic using distance method

S. Amiroch, M. S. Pradana, M. I. Irawan, I. Mukhlash

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


Multiple Alignment (MA) is a particularly important tool for studying the viral genome and determine the evolutionary process of the specific virus. Application of MA in the case of the spread of the Severe acute respiratory syndrome (SARS) epidemic is an interesting thing because this virus epidemic a few years ago spread so quickly that medical attention in many countries. Although there has been a lot of software to process multiple sequences, but the use of pairwise alignment to process MA is very important to consider. In previous research, the alignment between the sequences to process MA algorithm, Super Pairwise Alignment, but in this study used a dynamic programming algorithm Needleman wunchs simulated in Matlab. From the analysis of MA obtained and stable region and unstable which indicates the position where the mutation occurs, the system network topology that produced the phylogenetic tree of the SARS epidemic distance method, and system area networks mutation.

Original languageEnglish
Article number012080
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 21 Sept 2017
Event1st International Conference on Applied and Industrial Mathematics and Statistics 2017, ICoAIMS 2017 - Kuantan, Pahang, Malaysia
Duration: 8 Aug 201710 Aug 2017


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