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| 020 | _a9783030791469 | ||
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_a10.1007/978-3-030-79146-9 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQH324.2 _b2021 EB |
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| 100 | 1 |
_aMaly, Ivan V. _eautor _9681481 |
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| 245 | 1 | 0 |
_aQuantitative Elements of General Biology : _bA Dynamical Systems Approach _cby Ivan Maly |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (VII, 200 páginas) _b62 ilustraciones, 17 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _a1. Introduction -- 2. Darwinian dynamics -- 3. Homeostasis -- 4. Cellular organization -- 5. Multicellular form and movement -- 6. Inter-species and planetary-scale dynamics. | |
| 520 | 3 | _aThis 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. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aBioinformática _9160489 |
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| 650 | 7 |
_2embne _aBiomatemáticas _9145951 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79146-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b02/2022 _dz _eu _zSI |
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