Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24093
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dc.contributor.authorBogojeska, Aleksandraen_US
dc.contributor.authorKalajdziski, Slobodanen_US
dc.contributor.authorKocarev, Ljupchoen_US
dc.date.accessioned2022-11-02T09:51:37Z-
dc.date.available2022-11-02T09:51:37Z-
dc.date.issued2010-09-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/24093-
dc.description.abstractThe advent of high-throughput sequencing platforms brought bioinformatics to a new level. This, so called ‘next-generation’ sequencing technology opened the researching doors of every laboratory allowing accomplishment of previously unimaginable scale and expensive experiments. As a result, novel research areas have emerged providing huge amounts of new data ready to be analyzed. Parallel to this progress, a variety of sequencing tools designed for data analysis has been published. Sequence alignment takes the central challenge in data analysis, providing primary representative results for the experiments. Few alignment methods and diversity of tools have been published and developed in the last years. The main goal of all these alignment tools is to fit between performance and accuracy. In this review will be presented the new NGS technologies and platforms, the current alignment approaches applied in data analysis and described some commonly used implementations of the methods.en_US
dc.relation.ispartofICT Innovations 2010, Web Proceedingsen_US
dc.subjectnext-generation sequencing, alignment algorithm, short readsen_US
dc.titleNext-generation DNA sequencing technology, challenges and bioinformatics approaches for sequence alignmenten_US
dc.typeArticleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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