Efficient alignment of next generation sequencing data using MapReduce on the cloud
Author | AlSaad, Rawan |
Author | Malluhi, Qutaibah |
Author | Abouelhoda, Mohamed |
Available date | 2024-07-17T07:14:47Z |
Publication Date | 2012 |
Publication Name | 2012 Cairo International Biomedical Engineering Conference, CIBEC 2012 |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/CIBEC.2012.6473312 |
Abstract | This paper presents a methodology for running NGS read mapping tools in the cloud environment based on the MapReduce programming paradigm. As a demonstration, the recently developed and robust sequence alignment tool, BFAST, is used within our methodology to handle massive datasets. The results of our experiments show that the transformation of existing read mapping tools to run within the MapReduce framework dramatically reduces the total execution time and enables the user to utilize the resources provided by the cloud. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | bioinformatics Cloud computing MapReduce sequence alignment |
Type | Conference Paper |
Pagination | 18-22 |
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Computer Science & Engineering [2284 items ]