Sequence Analysis And Related Approaches

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Sequence Analysis and Related Approaches

Author : Matthias Studer,Gilbert Ritschard
Publisher : Unknown
Page : 298 pages
File Size : 46,8 Mb
Release : 2020-10-08
Category : Social Science
ISBN : 1013273842

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Sequence Analysis and Related Approaches by Matthias Studer,Gilbert Ritschard Pdf

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.; Provides new perspectives and methods for sequence analysis Focusses on the link between sequence analysis and other methods for longitudinal data, especially event history analysis and Markov models Stresses the complementarity of sequence analysis and other models for longitudinal data Applications of sequence analysis in a whole range of different domains This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Advances in Sequence Analysis: Theory, Method, Applications

Author : Philippe Blanchard,Felix Bühlmann,Jacques-Antoine Gauthier
Publisher : Springer
Page : 308 pages
File Size : 40,9 Mb
Release : 2014-07-02
Category : Social Science
ISBN : 9783319049694

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Advances in Sequence Analysis: Theory, Method, Applications by Philippe Blanchard,Felix Bühlmann,Jacques-Antoine Gauthier Pdf

This book gives a general view of sequence analysis, the statistical study of successions of states or events. It includes innovative contributions on life course studies, transitions into and out of employment, contemporaneous and historical careers, and political trajectories. The approach presented in this book is now central to the life-course perspective and the study of social processes more generally. This volume promotes the dialogue between approaches to sequence analysis that developed separately, within traditions contrasted in space and disciplines. It includes the latest developments in sequential concepts, coding, atypical datasets and time patterns, optimal matching and alternative algorithms, survey optimization, and visualization. Field studies include original sequential material related to parenting in 19th-century Belgium, higher education and work in Finland and Italy, family formation before and after German reunification, French Jews persecuted in occupied France, long-term trends in electoral participation, and regime democratization. Overall the book reassesses the classical uses of sequences and it promotes new ways of collecting, formatting, representing and processing them. The introduction provides basic sequential concepts and tools, as well as a history of the method. Chapters are presented in a way that is both accessible to the beginner and informative to the expert.

Social Sequence Analysis

Author : Benjamin Cornwell
Publisher : Cambridge University Press
Page : 339 pages
File Size : 42,9 Mb
Release : 2015-08-06
Category : Reference
ISBN : 9781107102507

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Social Sequence Analysis by Benjamin Cornwell Pdf

Social Sequence Analysis is a comprehensive guide to analytic methods that brings together foundational, theoretical and methodological work on social sequences.

Sequence — Evolution — Function

Author : Eugene V. Koonin,Michael Galperin
Publisher : Springer Science & Business Media
Page : 482 pages
File Size : 49,8 Mb
Release : 2013-06-29
Category : Science
ISBN : 9781475737837

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Sequence — Evolution — Function by Eugene V. Koonin,Michael Galperin Pdf

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.

Biological Sequence Analysis

Author : Richard Durbin
Publisher : Cambridge University Press
Page : 372 pages
File Size : 44,7 Mb
Release : 1998-04-23
Category : Science
ISBN : 0521629713

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Biological Sequence Analysis by Richard Durbin Pdf

Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.

Sequence Analysis and Related Approaches

Author : Matthias Studer,Gilbert Ritschard
Publisher : Unknown
Page : 298 pages
File Size : 51,8 Mb
Release : 2020-10-08
Category : Social Science
ISBN : 1013273850

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Sequence Analysis and Related Approaches by Matthias Studer,Gilbert Ritschard Pdf

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.; Provides new perspectives and methods for sequence analysis Focusses on the link between sequence analysis and other methods for longitudinal data, especially event history analysis and Markov models Stresses the complementarity of sequence analysis and other models for longitudinal data Applications of sequence analysis in a whole range of different domains This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Sequence Analysis and Related Approaches

Author : Gilbert Ritschard,Matthias Studer
Publisher : Springer
Page : 298 pages
File Size : 46,6 Mb
Release : 2018-10-17
Category : Social Science
ISBN : 9783319954202

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Sequence Analysis and Related Approaches by Gilbert Ritschard,Matthias Studer Pdf

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.

Sequence Alignment

Author : Michael S. Rosenberg Ph. D.
Publisher : Univ of California Press
Page : 357 pages
File Size : 40,9 Mb
Release : 2009-03-11
Category : Science
ISBN : 9780520943742

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Sequence Alignment by Michael S. Rosenberg Ph. D. Pdf

The sequencing of the human genome involved thousands of scientists but used relatively few tools. Today, obtaining sequences is simpler, but aligning the sequences—making sure that sequences from one source are properly compared to those from other sources—remains a complicated but underappreciated aspect of comparative molecular biology. This volume, the first to focus on this crucial step in analyzing sequence data, is about the practice of alignment, the procedures by which alignments are established, and more importantly, how the outcomes of any alignment algorithm should be interpreted. Edited by Michael S. Rosenberg with essays by many of the field's leading experts, Sequence Alignment covers molecular causes, computational advances, approaches for assessing alignment quality, and philosophical underpinnings of the algorithms themselves.

Mathematical Approaches to Polymer Sequence Analysis and Related Problems

Author : Renato Bruni
Publisher : Springer Science & Business Media
Page : 254 pages
File Size : 51,5 Mb
Release : 2010-10-17
Category : Science
ISBN : 9781441968005

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Mathematical Approaches to Polymer Sequence Analysis and Related Problems by Renato Bruni Pdf

An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them. The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.

Sequence Analysis and Related Approaches

Author : Gilbert Ritschard,Matthias Studer
Publisher : Springer
Page : 0 pages
File Size : 54,9 Mb
Release : 2019-01-25
Category : Social Science
ISBN : 3030070344

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Sequence Analysis and Related Approaches by Gilbert Ritschard,Matthias Studer Pdf

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.

DNA and Protein Sequence Analysis

Author : Martin J. Bishop,Christopher J. Rawlings
Publisher : IRL Press
Page : 384 pages
File Size : 55,8 Mb
Release : 1997
Category : Science
ISBN : UOM:39015038597251

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DNA and Protein Sequence Analysis by Martin J. Bishop,Christopher J. Rawlings Pdf

Sequence data--either lists of nucleotides or of amino acids--are now easily gathered using automated equipment; the real effort is involved in interpreting the data to produce predictions of protein structure or function. With the advent of worldwide computer networks, a plethora of software is now available for sequence analysis. This book describes the techniques for computer analysis of sequence data, with the emphasis on general issues rather than specific algorithms. Unlike many books on these topics, which focus on the "how-to" aspects of software packages, this one places more emphasis on the science behind the packages and on interpretation of the results.

High Performance Computational Methods for Biological Sequence Analysis

Author : Tieng K. Yap,Ophir Frieder,Robert L. Martino
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461313915

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High Performance Computational Methods for Biological Sequence Analysis by Tieng K. Yap,Ophir Frieder,Robert L. Martino Pdf

High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts. These concepts are presented so that computer scientists and biomedical scientists can obtain the necessary background for developing better algorithms and applying parallel computational methods. This book will enable both groups to develop the depth of knowledge needed to work in this interdisciplinary field. This work focuses on high performance computational approaches that are used to perform computationally intensive biological sequence analysis tasks: pairwise sequence comparison, multiple sequence alignment, and sequence similarity searching in large databases. These computational methods are becoming increasingly important to the molecular biology community allowing researchers to explore the increasingly large amounts of sequence data generated by the Human Genome Project and other related biological projects. The approaches presented by the authors are state-of-the-art and show how to reduce analysis times significantly, sometimes from days to minutes. High Performance Computational Methods for Biological Sequence Analysis is tremendously important to biomedical science students and researchers who are interested in applying sequence analyses to their studies, and to computational science students and researchers who are interested in applying new computational approaches to biological sequence analyses.

Handbook of Data Analysis

Author : Melissa A Hardy,Alan Bryman
Publisher : SAGE
Page : 728 pages
File Size : 40,6 Mb
Release : 2009-06-17
Category : Social Science
ISBN : 9781446203446

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Handbook of Data Analysis by Melissa A Hardy,Alan Bryman Pdf

Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

Problems and Solutions in Biological Sequence Analysis

Author : Mark Borodovsky,Svetlana Ekisheva
Publisher : Cambridge University Press
Page : 15 pages
File Size : 55,8 Mb
Release : 2006-09-04
Category : Science
ISBN : 9781139458122

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Problems and Solutions in Biological Sequence Analysis by Mark Borodovsky,Svetlana Ekisheva Pdf

This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis, by Durbin et al. (Cambridge, 1998), widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in Biological Sequence Analysis as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as Biological Sequence Analysis and significantly extending the set of workable problems, it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem-solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever MSc degree program in Bioinformatics was held.

Introducing Survival and Event History Analysis

Author : Melinda Mills
Publisher : SAGE
Page : 301 pages
File Size : 44,8 Mb
Release : 2011-01-19
Category : Social Science
ISBN : 9781848601024

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Introducing Survival and Event History Analysis by Melinda Mills Pdf

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.