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2004 | 51 | 4 | 983-993
Article title

Assembling the SARS-CoV genome - new method based on graph theoretical approach.

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Abstracts
EN
Nowadays, scientists may learn a lot about the organisms studied just by analyzing their genetic material. This requires the development of methods of reading genomes with high accuracy. It has become clear that the knowledge of the changes occuring within a viral genome is indispensable for effective fighting of the pathogen. A good example is SARS-CoV, which was a cause of death of many people and frightened the entire world with its fast and hard to prevent propagation. Rapid development of sequencing methods, like shotgun sequencing or sequencing by hybridization (SBH), gives scientists a good tool for reading genomes. However, since sequencing methods can read fragments of up to 1000 bp only, methods for sequence assembling are required in order to read whole genomes. In this paper a new assembling method, based on graph theoretical approach, is presented. The method was tested on SARS-CoV and the results were compared to the outcome of other widely known methods.
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Publisher

Year
Volume
51
Issue
4
Pages
983-993
Physical description
Dates
published
2004
received
2004-04-26
revised
2004-09-14
accepted
2004-10-05
Contributors
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
author
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
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Document Type
Publication order reference
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YADDA identifier
bwmeta1.element.bwnjournal-article-abpv51i4p983kz
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