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Title:
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IN SILICO BIOLOGICAL EXPERIMENTS FOR INVESTIGATING THE PANDEMIC INFLUENZA VIRUS A VARIABILITY |
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Author(s):
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Plamenka Borovska, Ognian Nakov, Veska Gancheva, Ivailo Georgiev, Stoyan Markov |
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ISBN:
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978-989-8533-06-7 |
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Editors:
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Hans Weghorn, Leonardo Azevedo and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Bioinformatics, High Performance Computing, Influenza Virus, Multiple Sequence Alignment, Sequence Alignment |
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Type:
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Full Paper |
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First Page:
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203 |
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Last Page:
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209 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The study of the variability of influenza virus is very of great importance problem nowadays. Influenza type A viruses cause epidemics and pandemics. The problem of restricting the spreading of pandemics and the treatment of the infected by the influenza virus people is widely based on the latest achievements of molecular biology, bioinformatics and biocomputing, as well as many other advanced areas of science. In silico biological sequence processing is a key for molecular biology. This scientific area requires powerful computing resources for exploring large sets of biological data. The paper presents parallel computational simulations for the case study of investigating the role of the host genome in the evolution and fast changeability of the influenza virus A on supercomputer BlueGene/P. The experimental framework is based on all available existing influenza virus A nucleotide sequences, clustalw algorithm for multiple sequence alignment, blast algorithm for sequence searching, Philip software for philogenetic tree reconstruction and recombination analysis tool for finding hot-spots of mutation/recombination in influenza A virus genomes. |
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