A Study of Parallel Algorithms for Multiple Sequence Alignment

Mohammed Wajid Al-Neama

ISBN 10: 3659883786 / ISBN 13: 9783659883781

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

A Study of Parallel Algorithms for Multiple Sequence Alignment | Mohammed Wajid Al-Neama | Taschenbuch | 180 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659883781 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 103736499

Bibliographic Details

• Title: A Study of Parallel Algorithms for Multiple Sequence Alignment
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659883786
• ISBN 13: 9783659883781
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 286 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The exponential growth of available biological data has caused bioinformatics to be rapidly moving towards a data-intensive, computational science. As a result, the computational power needed by bioinformatics applications is growing exponentially as well. Traditional approaches to sequence analysis techniques are expensive in terms of time and memory. This leads to the use of HPC which is a widely used method to improve performance. The emergence of accelerator technologies such as multi-core architecture has made it possible to achieve an excellent improvement in execution time for many bioinformatics applications, compared to current general-purpose platforms. Therefore, using multi-cores to solve sequence analysis problems is a promising and challenging research field because large-scale computational bioinformatics problems can benefit greatly from this kind of processing power. Providing a comparison between the parallel methods available for MSA. Guiding biologists to the most convenient tool to align multiple sequences. Designing and implementing a new parallel and effective method to align multiple sequences using both multi-cores and cluster systems.

About the Author

Mohammed Wajid Al-Neama is a lecturer of Computer Science. Teaching and training more than 10 years at University of Mosul, Iraq. PhD in Mathematics Computing, from Al-Azhar University. His main research interests are algorithms, parallel computing & evolutionary bioinformatics. Published several researches in international scientific journals.