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Sequence alignment using simulated annealing

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dc.contributor.coauthorGüven, Can
dc.contributor.departmentDepartment of Physics
dc.contributor.kuauthorSarıyer, Ozan
dc.contributor.kuprofileResearcher
dc.contributor.otherDepartment of Physics
dc.contributor.schoolcollegeinstituteCollege of Sciences
dc.contributor.yokid237449
dc.date.accessioned2024-11-09T23:36:11Z
dc.date.issued2010
dc.description.abstractWe apply simulated annealing to amino acid sequence alignment, a fundamental problem in bioinformatics, particularly relevant to evolution. Our goal was obtaining results comparable to those reached through dynamic programming algorithms, like the Needleman-Wunsch algorithm, as well as making a connection between physics and bioinformatics through a representative example.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue15
dc.description.openaccessNO
dc.description.volume389
dc.identifier.doi10.1016/j.physa.2010.02.015
dc.identifier.eissn1873-2119
dc.identifier.issn0378-4371
dc.identifier.scopus2-s2.0-84865739075
dc.identifier.urihttp://dx.doi.org/10.1016/j.physa.2010.02.015
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12611
dc.identifier.wos279491200026
dc.keywordsBioinformatics
dc.keywordsSimulated annealing
dc.keywordsOptimization
dc.languageEnglish
dc.publisherElsevier
dc.sourcePhysica A-Statistical Mechanics And Its Applications
dc.subjectPhysics
dc.titleSequence alignment using simulated annealing
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0001-6064-392X
local.contributor.kuauthorSarıyer, Ozan
relation.isOrgUnitOfPublicationc43d21f0-ae67-4f18-a338-bcaedd4b72a4
relation.isOrgUnitOfPublication.latestForDiscoveryc43d21f0-ae67-4f18-a338-bcaedd4b72a4

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