國立高雄大學圖資館 |

Language: English

Back

Quantitative elements of general bio...

Maly, Ivan.

Quantitative elements of general biologya dynamical systems approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative elements of general biologyby Ivan Maly.
Reminder of title:	a dynamical systems approach /
Author:	Maly, Ivan.
Published:	Cham :Springer International Publishing :2021.
Description:	vii, 200 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computational biology.
Online resource:	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

Quantitative elements of general biologya dynamical systems approach /
LDR:02873nmm a2200325 a 4500 001 607833
003 DE-He213
005 20210828122549.0
006 m d
007 cr nn 008maaau
008 220119s2021 sz s 0 eng d
020 $a 9783030791469 $q (electronic bk.)
020 $a 9783030791452 $q (paper)
024 7 $a 10.1007/978-3-030-79146-9 $2 doi
035 $a 978-3-030-79146-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a PSA $2 bicssc
072 7 $a SCI086000 $2 bisacsh
072 7 $a PSA $2 thema
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .M262 2021
100 1 $a Maly, Ivan. $3 904998
245 1 0 $a Quantitative elements of general biology $h [electronic resource] : $b a dynamical systems approach / $c by Ivan Maly.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a vii, 200 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction -- 2. Darwinian dynamics -- 3. Homeostasis -- 4. Cellular organization -- 5. Multicellular form and movement -- 6. Inter-species and planetary-scale dynamics.
520 $a 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.
650 0 $a Computational biology. $3 210438
650 0 $a Biomathematics. $3 212374
650 1 4 $a Systems Biology. $3 245824
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
650 2 4 $a Biomedical Engineering/Biotechnology. $3 730838
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-79146-9
950 $a Computer Science (SpringerNature-11645)