Applied Algorithms for Bioinformatics Problems : Sequential and Parallel Algorithms for Sequence Alignment, Text Summary

Vishal Thapar

ISBN 10: 3639197887 / ISBN 13: 9783639197884

Edité par VDM Verlag Dr. Müller, 2009

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - With significant growth of bio-molecular sequence data in the last decade the need for algorithms to extract patterns and meaningful information from such data has been felt strongly. Alignment of sequences, in order to determine regions of common descent, has also been an important area of research as it helps scientist discover the evolution of species. Another problem that researchers are putting in a lot of effort into, is document summary. As the lower bound for computation is being met for various algorithms, to further expedite the computing on large data sets, parallelization has become imperative. New multiprocessor architectures like the Cell Broadband Engine have the potential to do extensive calculations and act as mini-supercomputers. Other applications for these include onboard aircraft fault diagnosis and prognosis. We take a peek into some existing algorithms for these problems as well as propose novel algorithms along with their implementations to address these problems in the field of bioinformatics.

N° de réf. du vendeur 9783639197884

Détails bibliographiques

• Titre: Applied Algorithms for Bioinformatics Problems : Sequential and Parallel Algorithms for Sequence Alignment, Text Summary
• Éditeur: VDM Verlag Dr. Müller
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 3639197887
• ISBN à 13 chiffres: 9783639197884
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 22 L x 15 H x 0,8 P (centimètres) 22 centimètres de largeur par 15 centimètres de hauteur par 0,8 centimètres de profondeur
• Poids: 219 grammes

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Synopsis

With significant growth of bio-molecular sequence data in the last decade the need for algorithms to extract patterns and meaningful information from such data has been felt strongly. Alignment of sequences, in order to determine regions of common descent, has also been an important area of research as it helps scientist discover the evolution of species. Another problem that researchers are putting in a lot of effort into, is document summary. As the lower bound for computation is being met for various algorithms, to further expedite the computing on large data sets, parallelization has become imperative. New multiprocessor architectures like the Cell Broadband Engine have the potential to do extensive calculations and act as mini-supercomputers. Other applications for these include onboard aircraft fault diagnosis and prognosis. We take a peek into some existing algorithms for these problems as well as propose novel algorithms along with their implementations to address these problems in the field of bioinformatics.