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Computational Systems Biology (Hardcover, 2009 ed.)
Loot Price: R4,565
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Computational Systems Biology (Hardcover, 2009 ed.)
Series: Methods in Molecular Biology, 541
Expected to ship within 10 - 15 working days
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Computational systems biology is the term that we use to describe
computational methods to identify, infer, model, and store
relationships between the molecules, pathways, and cells
(‘‘systems’’) involved in a living organism. Based on this
definition, the field of computational systems biology has been in
existence for some time. However, the recent confluence of
high-throughput methodology for biological data
gathering,genome-scalesequencing,andcomputationalprocessingpowerhasdrivena
reinvention and expansion of this field. The expansions include not
only modeling of small metabolic (1–3) and signaling systems (2,
4) but also modeling of the relati- ships between biological
components in very large systems, including whole cells and
organisms (5–15). Generally, these models provide a general
overview of one or more aspects of these systems and leave the
determination of details to experimentalists focused on smaller
subsystems. The promise of such approaches is that they will
elucidate patterns, relationships, and general features, which are
not evident from examining specific components or subsystems. These
predictions are either interesting in and of themselves (e. g. ,
the identification of an evolutionary pattern) or interesting
andvaluabletoresearchersworkingonaparticularproblem(e. g.
,highlightapreviously unknown functional pathway). Two events have
occurred to bring the field of computational systems biology to
theforefront.
Oneistheadventofhigh-throughputmethodsthathavegeneratedlarge
amounts of information about particular systems in the form of
genetic studies, gene and protein expression analyses and
metabolomics. With such tools, research to c-
sidersystemsasawholearebeingconceived,planned,andimplementedexperimentally
on an ever more frequent and wider scale.
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