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Algorithmic and Analytical Methods in Network Biology by Mehmet Koyutürk is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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## Abstract During the genomic revolution, algorithmic and analytical methods for organizing, integrating, analyzing, and querying biological sequence data proved invaluable. Today, increasing availability of high‐throughput data pertaining to functional states of biomolecules, as well as their interactions, enables genome‐scale studies of the cell from a systems perspective. The past decade witnessed significant efforts on the development of computational infrastructure for large‐scale modeling and analysis of biological systems, commonly using network models. Such efforts lead to novel insights into the complexity of living systems, through development of sophisticated abstractions, algorithms, and analytical techniques that address a broad range of problems, including the following: (1) inference and reconstruction of complex cellular networks; (2) identification of common and coherent patterns in cellular networks, with a view to understanding the organizing principles and building blocks of cellular signaling, regulation, and metabolism; and (3) characterization of cellular mechanisms that underlie the differences between living systems, in terms of evolutionary diversity, dev

Who reads Algorithmic and Analytical Methods in Network Biology?

Author

Mehmet Koyutürk

Publisher

Wiley (John Wiley & Sons); John Wiley and Sons Inc.; Wiley (ISSN 1939-5094)

Published

2010

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)