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dc.contributor.authorSun, Liren
dc.description.abstractThe assembly of next-generation sequencing reads is one of the most challenging and important tasks in bioinformatics. There are many different types of assembly algorithms and programs that have been developed to assemble next-generation sequencing reads. However, the assembly quality of each assembly program may vary. This paper introduces and implements two different assembly approaches that use three types of next-generation sequencing datasets. Both assembly approaches are designed to achieve the same goal, which is to improve assembly quality. The assembly results from the two approaches were compared and evaluated by using some widely used quality metrics. The result shows each approach has advantages and disadvantages.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleDesign and Evaluation of Two Hybrid Genome Assembly Approaches Using Illumina, Roche 454, and PacBio Datasetsen_US
dc.typeMaster's paperen_US
dc.date.accessioned2016-12-29T15:48:04Z
dc.date.available2016-12-29T15:48:04Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10365/25891
dc.subject.lcshBioinformatics.en_US
dc.subject.lcshSequence alignment (Bioinformatics)en_US
dc.subject.lcshNucleotide sequence.en_US
dc.subject.lcshGenomics.en_US
dc.subject.lcshComputer algorithms.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US
ndsu.advisorYan, Changhui


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