國立虎尾科技大學 |

Quantitative Elements of General Biology = A Dynamical Systems Approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative Elements of General Biology/ by Ivan Maly.
Reminder of title:	A Dynamical Systems Approach /
Author:	Maly, Ivan.
Description:	VII, 200 p. 62 illus., 17 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Systems biology. -
Online resource:	https://doi.org/10.1007/978-3-030-79146-9
ISBN:	9783030791469

Quantitative Elements of General Biology = A Dynamical Systems Approach /
Maly, Ivan.

Quantitative Elements of General BiologyA Dynamical Systems Approach /[electronic resource] :by Ivan Maly. - 1st ed. 2021. - VII, 200 p. 62 illus., 17 illus. in color.online resource.

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:

600045
Systems biology.

LC Class. No.: QH301-705

Dewey Class. No.: 570

Quantitative Elements of General Biology = A Dynamical Systems Approach /
LDR:03258nam a22003975i 4500 001 1048127
003 DE-He213
005 20210828122549.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030791469 $9 978-3-030-79146-9
024 7 $a 10.1007/978-3-030-79146-9 $2 doi
035 $a 978-3-030-79146-9
050 4 $a QH301-705
072 7 $a PSA $2 bicssc
072 7 $a SCI086000 $2 bisacsh
072 7 $a PSA $2 thema
082 0 4 $a 570 $2 23
100 1 $a Maly, Ivan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1351935
245 1 0 $a Quantitative Elements of General Biology $h [electronic resource] : $b A Dynamical Systems Approach / $c by Ivan Maly.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a VII, 200 p. 62 illus., 17 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Systems biology. $3 600045
650 0 $a Bioinformatics. $3 583857
650 0 $a Biomedical engineering. $3 588770
650 1 4 $a Systems Biology. $3 683756
650 2 4 $a Computational Biology/Bioinformatics. $3 677363
650 2 4 $a Biomedical Engineering/Biotechnology. $3 1068811
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030791452
776 0 8 $i Printed edition: $z 9783030791476
776 0 8 $i Printed edition: $z 9783030791483
856 4 0 $u https://doi.org/10.1007/978-3-030-79146-9
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)