WorldCat Identities

Tavaré, Simon

Works: 15 works in 88 publications in 1 language and 1,662 library holdings
Genres: Conference papers and proceedings 
Roles: Author, Editor, Creator, 958
Publication Timeline
Most widely held works by Simon Tavaré
Computational genome analysis : an introduction by Richard C Deonier( Book )

22 editions published between 2005 and 2010 in English and Undetermined and held by 372 WorldCat member libraries worldwide

"Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. This book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field."--Jacket
Logarithmic combinatorial structures : a probabilistic approach by Richard Arratia( Book )

12 editions published in 2003 in English and held by 211 WorldCat member libraries worldwide

"This book explains the similarities in asymptotic behaviour as the result of two basic properties shared by the structures: the conditioning relation and the logarithmic condition. The discussion is conducted in the language of probability, enabling the theory to be developed under rather general and explicit conditions; for the finer conclusions, Stein's method emerges as the key ingredient. The book is thus of particular interest to graduate students and researchers in both combinatorics and probability theory."--Jacket
Progress in population genetics and human evolution by Peter Donnelly( Book )

8 editions published in 1997 in English and held by 191 WorldCat member libraries worldwide

"This book is devoted to the collection, interpretation and analysis of population genetic data. Among the topics included here are studies on human evolutionary history, molecular techniques for generating data, statistical and computational techniques for the interpretation of such data, and stochastic models for genealogy and population structure. The chapters reflect the close interaction between experimental molecular biologists and theoreticians. The book will be useful for specialists in the area, as well as mathematicians, statisticians, computer scientists and biologists wanting a brief overview of current problems in the field."--Publisher's description
Computing for comparative microbial genomics : bioinformatics for microbiologists by David W Ussery( )

4 editions published in 2009 in English and Undetermined and held by 6 WorldCat member libraries worldwide

The major difficulty many microbiologists face is simply that of too much information. As a result of sequencing technologies becoming so economical, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. This accessible text/reference provides a coherent set of tools and a methodological framework for comparing raw DNA sequences and fully annotated genome sequences, then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Easy-to-follow, this introductory textbook is built around teaching computational / bioinformatics methods for comparison of microbial genomes, and includes detailed examples of how to compare them at the level of DNA, RNA, and protein, in terms of structural and functional analysis. Topics and Features: Contains five introductory chapters each representing a specific scientific field, to bring all readers up to the same basic level Familiarizes readers with genome sequences, RNA sequences (transcriptomics), proteomics and regulation of gene expression Describes basic methods to compare genomes and visualize the results for easy interpretation Discusses microbial communities, providing a framework for analysing and comparing individual genomes or raw DNA derived from complete ecosystems Introduces various atlases, building up to the Genome Atlas Offers numerous helpful examples throughout Focuses on the use and interpretation of publicly available Web tools Provides supplemental resources, such as Web links, at Developed from a set of lectures for a course in Comparative Microbial Genomics taught since 2001, this wide-ranging foundational textbook is aimed at advanced undergraduate and graduate students in Bioinformatics and Microbiology. The authors are from diverse backgrounds complementing the interdisciplinary nature of the topic and consequently have developed a common scientific language. Readers will find this text an invaluable reference for computational and bioinformatics tools
Some results for Markov processes, with application to genetic models by Simon Tavaré( Book )

2 editions published in 1979 in English and held by 2 WorldCat member libraries worldwide

Using the fossil record to estimate the age of the last common ancestor of extant primates by Simon Tavaré( )

2 editions published in 2002 in English and held by 2 WorldCat member libraries worldwide

Approches statistiques en segmentation : application à la ré-annotation de génome by Alice Cleynen( )

1 edition published in 2013 in English and held by 2 WorldCat member libraries worldwide

We propose to model the output of transcriptome sequencing technologies (RNA-Seq) using the negative binomial distribution, as well as build segmentation models suited to their study at different biological scales, in the context of these technologies becoming a valuable tool for genome annotation, gene expression analysis, and new-transcript discovery. We develop a fast segmentation algorithm to analyze whole chromosomes series, and we propose two methods for estimating the number of segments, a key feature related to the number of genes expressed in the cell, should they be identified from previous experiments or discovered at this occasion. Research on precise gene annotation, and in particular comparison of transcription boundaries for individuals, naturally leads us to the statistical comparison of change-points in independent series. To address our questions, we build tools, in a Bayesian segmentation framework, for which we are able to provide uncertainty measures. We illustrate our models, all implemented in R packages, on an RNA-Seq dataset from a study on yeast, and show for instance that the intron boundaries are conserved across conditions while the beginning and end of transcripts are subject to differential splicing
Workshop[s] in computational molecular biology, 4/15/91-4/14/94 : [abstracts]( Book )

1 edition published in 1995 in English and held by 1 WorldCat member library worldwide

Approximate Bayesian computation and MCMC( )

1 edition published in 2002 in Undetermined and held by 1 WorldCat member library worldwide

Estimation in the Mixture Transition Distribution Model for High Order Markov Chains( Book )

1 edition published in 1991 in English and held by 1 WorldCat member library worldwide

The mixture transition distribution (MTD) model was introduced by Raftery (1985) as a parsimonious model for high-order Markov chains. It is flexible, can represent a wide range of dependence patterns, can be physically motivated, fits data well, and appears to be a discrete-valued analogue for the class of autoregressive time series models. However, estimation has presented difficulties because the parameter space is highly nonconvex, being defined by a large number of nonlinear constraints. Here we propose an efficient computational algorithm for maximum likelihood estimation which is based on a way of reducing the large number of constraints. This also allows more structured versions of the model, for example those involving structural zeros, to be fit quite easily. A way of fitting the model using GLIM is also discussed. The algorithm is applied to a sequence of wind directions, and also to two sequences of DNA bases from introns from genes of the mouse. In each case, the MTD model fits better than the conventional Markov chain model
A tale of three couplings : Poisson-Dirichlet and GEM apprloximations for random permutations by Richard Arratia( Book )

1 edition published in 2006 in English and held by 0 WorldCat member libraries worldwide

A probabilistic by Richard Arratia( Book )

1 edition published in 2005 in English and held by 0 WorldCat member libraries worldwide

International Conference on Random Mappings, Partitions and Permutations Held in Los Angeles, California on 3-6 January 1992( )

1 edition published in 1992 in English and held by 0 WorldCat member libraries worldwide

Linear birth and death processes with killing by Samuel Karlin( Book )

1 edition published in 1982 in English and held by 0 WorldCat member libraries worldwide

moreShow More Titles
fewerShow Fewer Titles
Audience Level
Audience Level
  Kids General Special  
Audience level: 0.64 (from 0.50 for Computing ... to 1.00 for Linear bir ...)

Computational genome analysis : an introduction
Alternative Names
Simon Tavaré British cancer researcher

English (55)

Logarithmic combinatorial structures : a probabilistic approachProgress in population genetics and human evolutionComputing for comparative microbial genomics : bioinformatics for microbiologists