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008			220104s2022 si | s |||| 0|eng d
020			_a9789811650185
024	7		_a10.1007/978-981-16-5018-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH583.15 _b2022 EB
100	1		_aKimura, Akatsuki, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683148 _d1974-
245	0	0	_aQuantitative Biology : _bA Practical Introduction _cby Akatsuki Kimura.
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 130 páginas) _b1 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLearning Materials in Biosciences _x2509-6133
505	0		_aChapter 1: Introduction to Quantitative Biology -- Chapter 2: Architectonics of the Cell -- Chapter 3: Mechanics of the Cell -- Chapter 4: Implementing Toy Models in Microsoft Excel -- Chapter 5: Implementing Toy Models in Python -- Chapter 6: Differential Equations to Describe Temporal Changes -- Chapter 7: Diversity of the Cell -- Chapter 8: Randomness, diffusion, and probability -- Chapter 9: Self-Organization of the Cell -- Chapter 10: Modeling feedback regulations Chapter 11: Development of the Cell over Time (Perspectives).
520			_aThis textbook is for biologists, to conduct quantitative analysis and modeling of biological processes at molecular and cellular levels. Focusing on practical concepts and techniques for everyday research, this text will enable beginners, both students and established biologists, to take the first step in quantitative biology. It also provides step-by-step tutorials to run various sample programs in one's personal computer using Excel and Python. This volume traces topics, starting with an introductory chapter, such as modeling, construction and execution of numerical models, and key concepts in quantitative biology: feedback regulations, fluctuations and randomness, and statistical analyses. It also provide sample codes with guidance to procedure programming for actual biological processes such as movement of the nucleus within a cell, cell-cycle regulation, stripe pattern formation of skins, and distribution of energy. Written by a leading research scientist who has a background in biology, studied quantitative approaches by himself, and teaches quantitative biology at several universities, this textbook broadens quantitative approaches for biologists who do not have a strong background in mathematics, physics, or computer programming, and helps them progress further in their research.
988			_aSpringer_BiomedLife_2022
650		7	_2embne _9139477 _aCitología
776	0	8	_iPrinted edition: _z9789811650178
776	0	8	_iPrinted edition: _z9789811650192
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5018-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _ep _zSI