Parallelization of whole genome alignment
García Vizcaíno, Julio César
Espinosa, Antonio, dir. (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius
Universitat Autònoma de Barcelona. Escola d'Enginyeria

Date: 2011
Description: 60 p.
Abstract: With the advent of High performance computing, it is now possible to achieve orders of magnitude performance and computation e ciency gains over conventional computer architectures. This thesis explores the potential of using high performance computing to accelerate whole genome alignment. A parallel technique is applied to an algorithm for whole genome alignment, this technique is explained and some experiments were carried out to test it. This technique is based in a fair usage of the available resource to execute genome alignment and how this can be used in HPC clusters. This work is a rst approximation to whole genome alignment and it shows the advantages of parallelism and some of the drawbacks that our technique has. This work describes the resource limitations of current WGA applications when dealing with large quantities of sequences. It proposes a parallel heuristic to distribute the load and to assure that alignment quality is mantained.
Rights: L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: Creative Commons
Language: Anglès
Studies: Còmput d'Altes Prestacions, Teoria de la Informació i Seguretat / High Performance Computing, Information Theory and Security [4313133]
Series: Escola d'Enginyeria. Treballs de màster i postgrau. Màster en Computació d'Altes Prestacions
Document: Treball de fi de postgrau
Subject: Genomes ; Processament de dades



Treball de recerca
60 p, 2.4 MB

The record appears in these collections:
Research literature > Dissertations > Engineering. MT

 Record created 2012-05-15, last modified 2022-07-10



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