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A comparative analysis of multiple sequence alignments for biological data

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Manzoor, Umara; * | Shahid, Saroshb | Zafar, Bassama

Affiliations: [a] Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia | [b] Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad, Pakistan

Correspondence: [*] Address for correspondence: Umar Manzoor, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. Tel.: +96622870026; Fax: +96622870024; E-mail: [email protected].

Keywords: Multiple sequence alignment, clustalW, k-align, muscle, mafft, t-coffee, progressive alignment

DOI: 10.3233/BME-151479

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1781-S1789, 2015

Published: 2015
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Multiple sequence alignment plays a key role in the computational analysis of biological data. Different programs are developed to analyze the sequence similarity. This paper highlights the algorithmic techniques of the most popular multiple sequence alignment programs. These programs are then evaluated on the basis of execution time and scalability. The overall performance of these programs is assessed to highlight their strengths and weaknesses with reference to their algorithmic techniques. In terms of overall alignment quality, T-Coffee and Mafft attain the highest average scores, whereas K-align has the minimum computation time.

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