Abstract
The fast development of new experimental biotechnologies has resulted in an avalanche of genomic data. As a consequence, the life sciences are becoming more quantitative, and information technology, mathematics and statistics are being incorporated in a natural way. New fields such as bioinformatics and computational biology have emerged and are now key players in the effort to unravel the information hidden in the genomes. With the vast and ever growing amounts of data, it has become necessary to employ parallel programming, and grid techniques to accelerate the data processing and analysis. Although the bioinformatics and computational biology fields are still in their infancy when it comes to using parallel computers and grids, at least compared to other fields such as computational chemistry and physics, they have already emerged as major users of high-throughput computing resources.
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© 2007 Springer-Verlag Berlin Heidelberg
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Sonnhammer, AC.B., Holmgren, S. (2007). Bioinformatics and Computational Biology: Minisymposium Abstract. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_75
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DOI: https://doi.org/10.1007/978-3-540-75755-9_75
Publisher Name: Springer, Berlin, Heidelberg
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