Abstract
Biology has become a computational science. In their efforts to understand the functioning of cells at a molecular level, biologists make use of a growing array of databases that codify knowledge about genomes, the genes within them, the structure and function of the proteins encoded by the genes, and the interactions among genes, RNA molecules, proteins, molecular machines and other chemical components of the cell. Biologists have access to high-throughput measurement technologies such as DNA microarrays, which can measure the expression levels of tens of thousands of genes in a single experiment.
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© 2004 Springer-Verlag Berlin Heidelberg
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Karp, R.M. (2004). The Role of Experimental Algorithms in Genomics. In: Ribeiro, C.C., Martins, S.L. (eds) Experimental and Efficient Algorithms. WEA 2004. Lecture Notes in Computer Science, vol 3059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24838-5_22
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DOI: https://doi.org/10.1007/978-3-540-24838-5_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22067-1
Online ISBN: 978-3-540-24838-5
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