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Author: Joshua S. Weitz
Publisher: Princeton University Press
ISBN: 0691256489
Category : Science
Languages : en
Pages : 409
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Book Description
A hands-on approach to quantitative reasoning in the life sciences Quantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively about living systems given uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Stand-alone lab guides available in Python, R, and MATLAB help students move from learning in the classroom to doing research in practice Homework exercises build on the lab guides, emphasizing computational model development and analysis rather than pencil-and-paper derivations Suitable for capstone undergraduate classes, foundational graduate classes, or as part of interdisciplinary courses for students from quantitative backgrounds Can be used as part of conventional, flipped, or hybrid instruction formats Additional materials available to instructors, including lesson plans and homework solutions
Author: Joshua S. Weitz
Publisher: Princeton University Press
ISBN: 0691256489
Category : Science
Languages : en
Pages : 409
Get Book Here
Book Description
A hands-on approach to quantitative reasoning in the life sciences Quantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively about living systems given uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Stand-alone lab guides available in Python, R, and MATLAB help students move from learning in the classroom to doing research in practice Homework exercises build on the lab guides, emphasizing computational model development and analysis rather than pencil-and-paper derivations Suitable for capstone undergraduate classes, foundational graduate classes, or as part of interdisciplinary courses for students from quantitative backgrounds Can be used as part of conventional, flipped, or hybrid instruction formats Additional materials available to instructors, including lesson plans and homework solutions
Author: Joshua S. Weitz
Publisher: Princeton University Press
ISBN: 0691259607
Category : Science
Languages : en
Pages : 273
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Book Description
A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in Python and MATLAB
Author: Joshua S. Weitz
Publisher: Princeton University Press
ISBN: 0691255679
Category : Computers
Languages : en
Pages : 272
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Book Description
A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB
Author: Joshua S. Weitz
Publisher: Princeton University Press
ISBN: 0691255687
Category : Computers
Languages : en
Pages : 256
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Book Description
A hands-on lab guide in the MATLAB programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in Python and R
Author: Ryuichiro Nakato
Publisher: Springer Nature
ISBN: 1071641360
Category :
Languages : en
Pages : 455
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Book Description
Author: Nicholas F. Parrish
Publisher: Springer Nature
ISBN: 107162380X
Category : Science
Languages : en
Pages : 398
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Book Description
This detailed volume explores newly-developed methods in PIWI-interacting RNAs (piRNAs) research, methods currently applied to other ncRNAs involved in nuclear regulation which can be used to study piRNAs, and piRNA methods applied in non-classical organisms. It also includes several bioinformatic and biophysical methods related to piRNA studies, consistent with the increasing importance of high-throughput sequencing and computational methods. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, piRNA: Methods and Protocols serves as an ideal guide for researchers seeking to elucidate the numerous mysteries of this area of multicellular biology.
Author:
Publisher: Elsevier
ISBN: 0081026919
Category : Science
Languages : en
Pages : 4266
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Book Description
Comprehensive Natural Products III, Third Edition, Seven Volume Set updates and complements the previous two editions, including recent advances in cofactor chemistry, structural diversity of natural products and secondary metabolites, enzymes and enzyme mechanisms and new bioinformatics tools. Natural products research is a dynamic discipline at the intersection of chemistry and biology concerned with isolation, identification, structure elucidation, and chemical characteristics of naturally occurring compounds such as pheromones, carbohydrates, nucleic acids and enzymes. This book reviews the accumulated efforts of chemical and biological research to understand living organisms and their distinctive effects on health and medicine and to stimulate new ideas among the established natural products community. Provides readers with an in-depth review of current natural products research and a critical insight into the future direction of the field Bridges the gap in knowledge by covering developments in the field since the second edition published in 2010 Split into 7 sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Ensures that the knowledge within is easily understood by and applicable to a large audience
Author: M Jaffe
Publisher: Elsevier
ISBN: 0857093681
Category : Technology & Engineering
Languages : en
Pages : 337
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Book Description
Biomaterials and medical devices must be rigorously tested in the laboratory before they can be implanted. Testing requires the right analytical techniques. Characterization of biomaterials reviews the latest methods for analyzing the structure, properties and behaviour of biomaterials.Beginning with an introduction to microscopy techniques for analyzing the phase nature and morphology of biomaterials, Characterization of biomaterials goes on to discuss scattering techniques for structural analysis, quantitative assays for measuring cell adhesion, motility and differentiation, and the evaluation of cell infiltration and tissue formation using bioreactors. Further topics considered include studying molecular-scale protein-surface interactions in biomaterials, analysis of the cellular genome and abnormalities, and the use of microarrays to measure cellular changes induced by biomaterials. Finally, the book concludes by outlining standards and methods for assessing the safety and biocompatibility of biomaterials.With its distinguished editors and international team of expert contributors, Characterization of biomaterials is an authoritative reference tool for all those involved in the development, production and application of biomaterials. - Reviews the latest methods for analyzing the structure, properties and behaviour of biomaterials - Discusses scattering techniques for structural analysis, quantitative assays for measuring cell adhesion, and motility and differentiation - Examines the evaluation of cell infiltration and tissue formation using bioreactors
Author: N.D. Gallant
Publisher: Elsevier Inc. Chapters
ISBN: 012809169X
Category : Technology & Engineering
Languages : en
Pages : 31
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Book Description
This chapter reviews the quantification of cell adhesion and motility with a focus on the assays that enable these analyses. A description of these critical biological processes is provided and the characteristic parameters are described. Each assay is then classified according to the metrics used to quantify cell adhesion or locomotion. Finally, some recent advances and future prospects for the field are presented.
Author:
Publisher: Academic Press
ISBN: 0128125160
Category : Medical
Languages : en
Pages : 378
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Book Description
DNA Repair Enzymes, Part B, Volume 592 is the latest volume in the Methods in Enzymology series and the first part of a thematic that focuses on DNA Repair Enzymes. Topics in this updated volume include MacroBac: New Technologies for Robust and Efficient Large-Scale Production of Recombinant Multiprotein Complexes, Production and Assay of Recombinant Multisubunit Chromatin Remodeling Complexes, Analysis of Functional Dynamics of Modular Multidomain Proteins by SAXS and NMR, the Use of Single-Cysteine Variants for Trapping Transient States in DNA Mismatch Repair, and Structural Studies of RNases H2 as an Example of Crystal Structure Determination of Protein-Nucleic Acid Complexes. - Includes contributions from leading authorities working in enzymology - Focuses on DNA repair enzymes - Informs and updates on all the latest developments in the field of enzymology
