A Study of Parallel Algorithms for Multiple Sequence Alignment - Tapa blanda

Al-Neama, Mohammed Wajid

 
9783659883781: A Study of Parallel Algorithms for Multiple Sequence Alignment
Tapa blanda
ISBN 10: 3659883786 ISBN 13: 9783659883781
Editorial: LAP LAMBERT Academic Publishing, 2016

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

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.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3659883786
ISBN 13 
9783659883781
Encuadernación
Tapa blanda
Número de páginas
180
Editor
M. Reda Naglaa, F. M. Ghaleb Fayed
Contacto del fabricante
no disponible
Persona responsable
no disponible