Abstract
Much of the business of bioinformatics concerns the correlation of phenotype with genotype, with the transcriptome and proteome acting as intermediaries.1 Bioinformatics gives an unprecedented ability to scrutinize the intermediate levels and establish correlations far more extensively and in far more detail than was ever possible before. This ability is revolutionizing medicine. One may represent the human being as a gigantic table of correlations, comprising successive columns of genes and genetic variation, protein levels, and physiological states and interactions.2
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© 2004 Kluwer Academic Publishers
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Ramsden, J.J. (2004). Medical applications. In: Bioinformatics: An Introduction. Computational Biology, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2950-9_16
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DOI: https://doi.org/10.1007/978-1-4020-2950-9_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-015-7096-1
Online ISBN: 978-1-4020-2950-9
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