Abstract
Over the last decade networks has become a unifying language in biology. Yet we are only in the beginning of understanding their significance for biology and their medical applications. I will talk about the diversity of biological networks composed either of genes, proteins, metabolites, or cells and the associated methods for finding these graphs in the data. Next I will provide an overview of different methods of analysis and what kind of insights that have been obtained. During the talk I will highlight current challenging problems requiring computational skills with respect to identification, analysis, algorithms, visualization and software.
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© 2009 Springer-Verlag Berlin Heidelberg
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Tegnér, J. (2009). Networks in Biology – From Identification, Analysis to Interpretation. In: Tollis, I.G., Patrignani, M. (eds) Graph Drawing. GD 2008. Lecture Notes in Computer Science, vol 5417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00219-9_1
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DOI: https://doi.org/10.1007/978-3-642-00219-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00218-2
Online ISBN: 978-3-642-00219-9
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