Show simple item record

AuthorAlSaad, Rawan
AuthorMalluhi, Qutaibah
AuthorAbouelhoda, Mohamed
Available date2024-07-17T07:14:47Z
Publication Date2012
Publication Name2012 Cairo International Biomedical Engineering Conference, CIBEC 2012
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/CIBEC.2012.6473312
URIhttp://hdl.handle.net/10576/56762
AbstractThis 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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectbioinformatics
Cloud computing
MapReduce
sequence alignment
TitleEfficient alignment of next generation sequencing data using MapReduce on the cloud
TypeConference Paper
Pagination18-22
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record