The Geometry of Biological Time

The Geometry of Biological Time

Author: Arthur T. Winfree

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 543

ISBN-13: 3662224925

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As 1 review these pages, the last of them written in Summer 1978, some retrospec tive thoughts come to mind which put the whole business into better perspective for me and might aid the prospective reader in choosing how to approach this volume. The most conspicuous thought in my mind at present is the diversity of wholly independent explorations that came upon phase singularities, in one guise or another, during the past decade. My efforts to gather the published literature during the last phases of actually writing a whole book about them were almost equally divided between libraries of Biology, Chemistry, Engineering, Mathematics, Medicine, and Physics. A lot of what 1 call "gathering " was done somewhat in anticipation in the form of cönjecture, query, and prediction based on analogy between developments in different fields. The consequence throughout 1979 was that our long-suffering publisher re peatedly had to replace such material by citation of unexpected flurries of papers giving substantive demonstration. 1 trust that the authors of these many excellent reports, and especially of those I only found too late, will forgive the brevity of allusion I feIt compelled to observe in these substitutions. A residue of loose ends is largely collected in the index under "QUERIES. " It is c1ear to me already that the materials I began to gather several years ago represented only the first flickering of what turns out to be a substantial conflagration.


Forward-Time Population Genetics Simulations

Forward-Time Population Genetics Simulations

Author: Bo Peng

Publisher: John Wiley & Sons

Published: 2012-01-25

Total Pages: 258

ISBN-13: 1118180348

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The only book available in the area of forward-time population genetics simulations—applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies. Forward-Time Population Genetics Simulations presents both new and commonly used methods, and introduces simuPOP, a powerful and flexible new program that can be used to simulate arbitrary evolutionary processes with unique features like customized chromosome types, arbitrary nonrandom mating schemes, virtual subpopulations, information fields, and Python operators. The book begins with an overview of important concepts and models, then goes on to show how simuPOP can simulate a number of standard population genetics models—with the goal of demonstrating the impact of genetic factors such as mutation, selection, and recombination on standard Wright-Fisher models. The rest of the book is devoted to applications of forward-time simulations in various research topics. Forward-Time Population Genetics Simulations includes: An overview of currently available forward-time simulation methods, their advantages, and shortcomings An overview and evaluation of currently available software A simuPOP tutorial Applications in population genetics Applications in genetic epidemiology, statistical genetics, and mapping complex human diseases The only book of its kind in the field today, Forward-Time Population Genetics Simulations will appeal to researchers and students of population and statistical genetics.


Graduate Programs in the Biological/Biomedical Sciences & Health-Related Medical Professions 2014 (Grad 3)

Graduate Programs in the Biological/Biomedical Sciences & Health-Related Medical Professions 2014 (Grad 3)

Author: Peterson's

Publisher: Peterson's

Published: 2013-12-20

Total Pages: 4553

ISBN-13: 0768938600

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Peterson's Graduate Programs in the Biological/Biomedical Sciences & Health-Related Medical Professions 2014 contains comprehensive profiles of nearly 6,800 graduate programs in disciplines such as, allied health, biological & biomedical sciences, biophysics, cell, molecular, & structural biology, microbiological sciences, neuroscience & neurobiology, nursing, pharmacy & pharmaceutical sciences, physiology, public health, and more. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. There are also valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies.


Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics

Author: Dipak K. Dey

Publisher: CRC Press

Published: 2010-09-03

Total Pages: 466

ISBN-13: 1420070185

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Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and c


Systems Biology Modelling and Analysis

Systems Biology Modelling and Analysis

Author: Elisabetta De Maria

Publisher: John Wiley & Sons

Published: 2022-11-18

Total Pages: 468

ISBN-13: 1119716586

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Systems Biology Modelling and Analysis Describes important modelling and computational methods for systems biology research to enable practitioners to select and use the most suitable technique Systems Biology Modelling and Analysis provides an overview of state-of-the-art techniques and introduces related tools and practices to formalize models and automate reasoning for systems biology. The authors present and compare the main formal methods used in systems biology for modelling biological networks, including discussion of their advantages, drawbacks, and main applications. Each chapter includes an intuitive presentation of the specific formalism, a brief history of the formalism and of its applications in systems biology, a formal description of the formalism and its variants, at least one realistic case study, some applications of formal techniques to validate and make deep analysis of models encoded with the formalism, and a discussion on the kind of biological systems for which the formalism is suited, along with concrete ideas on its possible evolution. Edited by a highly qualified expert with significant experience in the field, some of the methods and techniques covered in Systems Biology Modelling and Analysis include: Petri nets, an important tool for studying different aspects of biological systems, ranging from simple signaling pathways to metabolic networks and beyond Pathway Logic, a formal, rule-based system and interactive viewer for developing executable models of cellular processes Boolean networks, a mathematical model which has been widely used for decades in the context of biological regulation networks Answer Set Programming (ASP), which has proven to be a strong logic programming paradigm to deal with the inherent complexity of biological models For systems biologists, biochemists, bioinformaticians, molecular biologists, pharmacologists, and computer scientists, Systems Biology Modelling and Analysis is a comprehensive all-in-one resource to understand and harness the field’s current models and techniques while also preparing for their potential developments in coming years with the help of the author’s expert insight.


Supercomputing Research Advances

Supercomputing Research Advances

Author: Yongge Huáng

Publisher: Nova Publishers

Published: 2008

Total Pages: 448

ISBN-13: 9781604561869

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Supercomputers are used for highly calculation-intensive tasks such as problems involving quantum mechanical physics, weather forecasting, climate research (including research into global warming), molecular modelling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals), physical simulations (such as simulation of aeroplanes in wind tunnels, simulation of the detonation of nuclear weapons, and research into nuclear fusion), cryptanalysis, and the like. Major universities, military agencies and scientific research laboratories are heavy users. This book presents the latest research in the field from around the world.


Bioinformatics Algorithms

Bioinformatics Algorithms

Author: Phillip Compeau

Publisher:

Published: 1986-06

Total Pages:

ISBN-13: 9780990374633

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Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides.


Handbook of the Biology of Aging

Handbook of the Biology of Aging

Author: Nicolas Musi

Publisher: Academic Press

Published: 2021-01-19

Total Pages: 469

ISBN-13: 012816283X

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Handbook of the Biology of Aging, Ninth Edition, provides a comprehensive synthesis and review of the latest and most important advances and themes in modern biogerontology. The book focuses on the trend of 'big data' approaches in the biological sciences, presenting new strategies to analyze, interpret and understand the enormous amounts of information being generated through DNA sequencing, transcriptomic, proteomic, and metabolomics methodologies applied to aging related problems. Sections cover longevity pathways and interventions that modulate aging, innovative tools that facilitate systems-level approaches to aging research, the mTOR pathway and its importance in age-related phenotypes, and much more. - Assists researchers in keeping abreast of research and clinical findings outside their subdiscipline - Helps medical, behavioral and social gerontologists understand what basic scientists and clinicians are discovering - Includes new chapters on genetics, evolutionary biology, bone aging, and epigenetic control - Examines the diverse research being conducted in the study of the biology of aging


Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

Author: Gabriella Panuccio

Publisher: Springer Nature

Published: 2020-07-22

Total Pages: 231

ISBN-13: 3030545687

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This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.