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dc.contributor.authorBonny, Mohamed Talal
dc.contributor.authorSalama, Khaled N.
dc.date.accessioned2015-08-04T07:01:27Z
dc.date.available2015-08-04T07:01:27Z
dc.date.issued2011-11
dc.identifier.isbn9781467303231
dc.identifier.issn10586393
dc.identifier.doi10.1109/ACSSC.2011.6190171
dc.identifier.urihttp://hdl.handle.net/10754/564456
dc.description.abstractBioinformatics database is growing exponentially in size. Processing these large amount of data may take hours of time even if super computers are used. One of the most important processing tool in Bioinformatics is sequence alignment. We introduce fast alignment algorithm, called 'Alignment By Scanning' (ABS), to provide an approximate alignment of two DNA sequences. We compare our algorithm with the wellknown sequence alignment algorithms, the 'GAP' (which is heuristic) and the 'Needleman-Wunsch' (which is optimal). The proposed algorithm achieves up to 51% enhancement in alignment score when it is compared with the GAP Algorithm. The evaluations are conducted using different lengths of DNA sequences. © 2011 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleFast global sequence alignment technique
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.contributor.departmentSensors Lab
dc.identifier.journal2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
dc.conference.date6 November 2011 through 9 November 2011
dc.conference.name45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
dc.conference.locationPacific Grove, CA
kaust.personBonny, Mohamed Talal
kaust.personSalama, Khaled N.


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