Statistical Methods in Bioinformatics

Written By Warren J. Ewens
Statistical Methods in Bioinformatics
  • Publsiher : Springer Science & Business Media
  • Release : 30 March 2006
  • ISBN : 0387266488
  • Pages : 598 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Statistical Methods in Bioinformatics written by Warren J. Ewens which was release on 30 March 2006, this book published by Springer Science & Business Media. Available in PDF, EPUB and Kindle Format. Book excerpt: Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods. The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized. The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text. Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science. Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999. Comments on the first edition: "This book would be an ideal text for a postgraduate course...[and] is equally well suited to individual study.... I would recommend the book highly." (Biometrics) "Ewens and Grant have given us a very welcome introduction to what is behind those pretty [graphical user] interfaces." (Naturwissenschaften) "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details." (Journal American Statistical Association) "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book." (Metrika)

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : Warren J. Ewens,Gregory R. Grant
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-30
  • Total pages : 598
  • ISBN : 0387266488
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Summary : Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation ...

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics
  • Author : Henry Horng-Shing Lu,Bernhard Schölkopf,Hongyu Zhao
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-05-17
  • Total pages : 630
  • ISBN : 0387266488
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Summary : Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics ...

Applied Computational Biology and Statistics in Biotechnology and Bioinformatics

Applied Computational Biology and Statistics in Biotechnology and Bioinformatics
  • Author : Ajit Kumar Roy
  • Publisher : New India Publishing
  • Release Date : 2012-01-15
  • Total pages : 1172
  • ISBN : 0387266488
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Summary : The book entitled "Applied Computational Biology and Statistics in Biotechnology and Bioinformatics" is aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty four chapters divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational ...

Statistical Bioinformatics with R

Statistical Bioinformatics with R
  • Author : Sunil K. Mathur
  • Publisher : Academic Press
  • Release Date : 2009-12-21
  • Total pages : 336
  • ISBN : 0387266488
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Summary : Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical ...

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : W. Warren John Ewens,Gregory Robert Grant
  • Publisher : Springer Science & Business Media
  • Release Date : 2001
  • Total pages : 476
  • ISBN : 0387266488
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Summary : Probability theory (i): one random variable. Probability theory (ii); many random variables. Statistics (i): an introduction to statistical inference. Stochastic processes (i): poisson processes and markov chains. Stochastic processes (iii): markov chains. Hidden markov models. Computationally intensive methods. Evolutionary models. Phylogenetic tree estimation. Basic notions in biology. C computational aspects ...

Statistical Modelling in Biostatistics and Bioinformatics

Statistical Modelling in Biostatistics and Bioinformatics
  • Author : Gilbert MacKenzie,Defen Peng
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-05-08
  • Total pages : 244
  • ISBN : 0387266488
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Summary : This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied ...

Statistical Bioinformatics

Statistical Bioinformatics
  • Author : Jae K. Lee
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-20
  • Total pages : 364
  • ISBN : 0387266488
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Summary : This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description ...

Geometry Driven Statistics

Geometry Driven Statistics
  • Author : Ian L. Dryden,John T. Kent
  • Publisher : John Wiley & Sons
  • Release Date : 2015-09-28
  • Total pages : 432
  • ISBN : 0387266488
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Summary : A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia′s long and influential career in statistics. A common theme unifying much of Mardia s work is the ...

Structural Bioinformatics

Structural Bioinformatics
  • Author : Jenny Gu,Philip E. Bourne
  • Publisher : John Wiley & Sons
  • Release Date : 2009-03-16
  • Total pages : 1035
  • ISBN : 0387266488
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Summary : The second edition of this successful text expands on the depth and scope of the topic by bringing together many of the world's experts to provide a view of the current state of the field suitable for advanced undergraduate students, graduate students and beyond. The book begins with a description ...

Advances in Statistical Bioinformatics

Advances in Statistical Bioinformatics
  • Author : Kim-Anh Do,Zhaohui Steve Qin,Marina Vannucci
  • Publisher : Cambridge University Press
  • Release Date : 2013-06-10
  • Total pages : 212
  • ISBN : 0387266488
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Summary : Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context ...

Statistical Advances in Biosciences and Bioinformatics

Statistical Advances in Biosciences and Bioinformatics
  • Author : International Biometric Society. Indian Region. Conference
  • Publisher : Allied Publishers
  • Release Date : 2006
  • Total pages : 302
  • ISBN : 0387266488
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Summary : Papers presented at the conference, held during 23-27 Nov. 2003, at Banaras Hindu University, Varanasi....

Statistics for Bioinformatics

Statistics for Bioinformatics
  • Author : Julie Thompson
  • Publisher : Elsevier
  • Release Date : 2016-11-24
  • Total pages : 146
  • ISBN : 0387266488
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Summary : Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments ...

Statistical Analysis of Next Generation Sequencing Data

Statistical Analysis of Next Generation Sequencing Data
  • Author : Somnath Datta,Dan Nettleton
  • Publisher : Springer
  • Release Date : 2014-07-03
  • Total pages : 432
  • ISBN : 0387266488
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Summary : Next Generation Sequencing (NGS) is the latest high throughput technology to revolutionize genomic research. NGS generates massive genomic datasets that play a key role in the big data phenomenon that surrounds us today. To extract signals from high-dimensional NGS data and make valid statistical inferences and predictions, novel data analytic ...

Statistics Applied to Bioinformatics

Statistics Applied to Bioinformatics
  • Author : Jacques Van Helden
  • Publisher : Oxford University Press, USA
  • Release Date : 2015-03-15
  • Total pages : 400
  • ISBN : 0387266488
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Summary : A text based on the author's Masters level course on statistics applied to bioinformatics aimed at graduate students from statistics, bioinformatics and biology. Filling a gap in the current literature, the text includes a rigorous and extensive background in biostatistics, along with detailed explanation of the key biological questions before ...

Applied Statistics for Bioinformatics Using R

Applied Statistics for Bioinformatics Using R
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2022-06-25
  • Total pages : 212
  • ISBN : 0387266488
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Summary : Download or read online Applied Statistics for Bioinformatics Using R written by , published by which was released on . Get Applied Statistics for Bioinformatics Using R Books now! Available in PDF, ePub and Kindle....