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Quantitative elements of general bio...

Maly, Ivan.

Quantitative elements of general biologya dynamical systems approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative elements of general biologyby Ivan Maly.
其他題名:	a dynamical systems approach /
作者:	Maly, Ivan.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	vii, 200 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational biology.
電子資源:	https://doi.org/10.1007/978-3-030-79146-9
ISBN:	9783030791469

Quantitative elements of general biologya dynamical systems approach /
Maly, Ivan.

Quantitative elements of general biologya dynamical systems approach /[electronic resource] :by Ivan Maly. - Cham :Springer International Publishing :2021. - vii, 200 p. :ill., digital ;24 cm.

1. Introduction -- 2. Darwinian dynamics -- 3. Homeostasis -- 4. Cellular organization -- 5. Multicellular form and movement -- 6. Inter-species and planetary-scale dynamics.

This monograph sketches out a broad spectrum of problems (from evolution and metabolism to morphogenesis and biogeographical dynamics) whose solution has been impacted by mathematical models. Each of the selected examples has led to the recognition-and set direction to further study-of certain fundamental but unintuitive properties of biological systems, such as the making and breaking of specific symmetries that underlie morphogenesis. Whether they are long-established or only recently accepted, these models are selected for being thought-provoking and illuminating both the achievements and the gaps in our current understanding of the given area of biology. The selection of models is also meant to bring to the fore the existing degree of unity in the quantitative approach to diverse general-biological questions and in the systems-level properties that are discovered across the levels of biological organization. It is the thesis of this book that further cultivation of such unity is a way forward as we progress toward a general theory of living matter. This is an ideal book for students (in the broadest sense) of biology who wish to learn from this attempt to present the exemplary models, their methodological lessons, and the outline of a unified theory of living matter that is now beginning to emerge. In addition to a doctoral student preparing for quantitative biology research, this reader could also be an interdisciplinary scientist transitioning to biology. The latter-for example, a physicist or an engineer-may be comfortable with the mathematical apparatus and prepared to quickly enter the intended area of work, but desires a broader foundation in biology from the quantitative perspective.

ISBN: 9783030791469

Standard No.: 10.1007/978-3-030-79146-9doiSubjects--Topical Terms:

210438
Computational biology.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

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