Download or read book Quantitative Biosciences written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Quantitative Biosciences Companion in R written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-03-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Quantitative Biosciences Companion in MATLAB written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Quantitative Biosciences Companion in Python written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Quantitative Biology written by Akatsuki Kimura and published by Springer. This book was released on 2022-01-05 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.

Download or read book Quantitative Biosciences Companion in R written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book piRNA written by Nicholas F. Parrish and published by Springer Nature. This book was released on 2022-07-07 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Comprehensive Natural Products III written by and published by Elsevier. This book was released on 2020-07-22 with total page 4266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Characterization of biomaterials written by N.D. Gallant and published by Elsevier Inc. Chapters. This book was released on 2012-12-19 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Microfluidics in Cell BiologyPart A Microfluidics for multicellular systems written by and published by Academic Press. This book was released on 2018-07-20 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microfluidics in Cell Biology Part A: Volume 146, the latest release in the Methods in Cell Biology series, continues the legacy of this premier serial with quality chapters authored by leaders in the field. Unique to this updated volume are sections on Cell monolayers/spheroids, Collective migration in microtubes, Leukocyte adhesion dynamics on endothelial monolayers under flow, Constrained spheroid for perfusion culture, Cells in droplet arrays, Heart on chips, Kidney on chips, Liver on chips and hepatic immune responses, Gut on chips, 3D microvascular model-based lymphoma model, Blood brain barrier on chips, Multi-organ-on-a-chip for pharmacokinetic analysis, Cancer immunotherapy on chips, and more. Contains contributions from experts in the field from across the globe Covers a wide array of topics on both mitosis and meiosis Includes relevant, analysis based topics

Download or read book Characterization of Biomaterials written by M Jaffe and published by Elsevier. This book was released on 2012-12-19 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Quantitative Investigations in the Biosciences using MINITAB written by John Eddison and published by Routledge. This book was released on 2017-09-06 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations. The advent of statistical software packages has removed much of the tedium and many of the errors of manual calculations and allowed a marked increase in the depth and sophistication of analyses. Although most statistics classes now incorporate some instruction in using a statistics package, most introductory texts do not.Quantitative Investigations in the Biosciences using MINITAB fills this void by providing an introduction to investigative methods that, in addition to outlining statistical principles and describing methods of calculations, also presents essential commands and interprets output from the statistics package MINITAB.The author introduces the three basic elements of investigations-design, analysis, and reporting-using an extremely accessible approach that keeps mathematical detail to a minimum. He groups statistical tests according to the type of problem they are used to examine, such as comparisons, sequential relationships, and associations.Quantitative Investigations in the Biosciences using MINITAB draws techniques and examples from a variety of subjects, ranging from physiology and biochemistry through to ecology, behavioral sciences, medicine, agriculture and horticulture, and complements the mathematical results with formal conclusions for all of the worked examples. It thus provides an ideal handbook for anyone in virtually any field who wants to apply statistical techniques to their investigations.

Download or read book DNA Repair Enzymes Structure Biophysics and Mechanism written by and published by Academic Press. This book was released on 2017-07-11 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Convergence Mental Health written by Harris A. Eyre and published by Oxford University Press, USA. This book was released on 2021 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convergence science is the process whereby innovation comes from the cross pollination of diverse disciplines, industries and cultures, carrying ideas and approaches across boundaries. This book is a blueprint for how this could and should occur in mental health in order to solve the complex, multi-system problems that the field faces.

Download or read book Epigenomics written by Izuho Hatada and published by Springer Nature. This book was released on 2022-09-29 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed volume provides a comprehensive collection of protocols for epigenomic research, powering our ability to analyze epigenetic modifications across the entire genome. Beginning with methods used to investigate epigenomic modifications such as DNA methylation, histone modifications, and chromatin structure, the book continues with methods for manipulating the epigenome, including platforms for epigenome editing, inducible systems for epigenome editing, and epigenetically modified animals. Written for the highly successful Methods in Molecular Biology series, chapters feature introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Epigenomics: Methods and Protocols serves as an ideal resource for researchers looking to further expand the utility and scope of epigenomics research.

Download or read book Plant Iron Homeostasis written by Jeeyon Jeong and published by Springer Nature. This book was released on 2023-05-11 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed volume focuses on iron homeostasis in plants, iron being an essential micronutrient that serves as a cofactor in numerous metabolic processes but is harmful in excess. Specifically, the content ranges from protocols to study the iron deficiency response, the interaction between root and microbes under iron deficient conditions, the transcriptional network of iron homeostasis, systemic signaling of iron, chloroplast iron regulation, as well as methods on quantitative proteomics, histochemical iron staining, metal imaging using x-ray fluorescence microscopy, and more. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Plant Iron Homeostasis: Methods and Protocols serves as a valuable resource for the plant iron homeostasis research community and will be of broad interest to plant biologists, soil scientists, and molecular biologists.

Download or read book Environmental Microbial Evolution written by Haiwei Luo and published by Springer Nature. This book was released on 2022-09-09 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the latest techniques used to study environmental microbial evolution, with a focus on methods capable of addressing deep evolution at long timescales. The chapters in this book are organized into three parts. Part One introduces molecular dating approaches and time calibration ideas that allow for the determination of evolutionary timescales of microbial lineages. Part Two describes several advanced phylogenomic tools such as models for genome tree construction, a taxon sampling method, outgroup-independent tree-rooting methods, and gene family evolution models. Part Three covers techniques used to study trait evolution. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Environmental Microbial Evolution: Methods and Protocols is a valuable tool for all researchers who are interested in learning more about this important and evolving field.