Abstract
Bioinformatics can be defined as the development and use of computational methods to solve problems from the life sciences. With the advent of omics technologies, the flood of biological data has been growing exponentially, and the traditional manual analysis and exploration of biological data is less and less an option. Networks are a powerful abstraction that can be utilized to structure, explore, and analyze biological data on different levels: from the atomic details to cellular processes to evolutionary relationships. In this chapter, we will introduce the basic characteristics of the different types of biological networks, give examples of actual visualizations, and discuss current challenges.
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Kohlbacher, O., Schreiber, F., Ward, M.O. (2014). Multivariate Networks in the Life Sciences. In: Kerren, A., Purchase, H.C., Ward, M.O. (eds) Multivariate Network Visualization. Lecture Notes in Computer Science, vol 8380. Springer, Cham. https://doi.org/10.1007/978-3-319-06793-3_4
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DOI: https://doi.org/10.1007/978-3-319-06793-3_4
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