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Multivariate Networks in the Life Sciences

  • Oliver Kohlbacher
  • Falk Schreiber
  • Matthew O. Ward
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8380)

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.

Keywords

Metabolic Network Biological Network Heterogeneous Network Omics Data Nucleic Acid Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Oliver Kohlbacher
  • Falk Schreiber
  • Matthew O. Ward

There are no affiliations available

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