Invitation to Protein Sequence Analysis Through Probability and Information

Invitation to Protein Sequence Analysis Through Probability and Information
Author: Daniel J. Graham
Publisher: CRC Press
Total Pages: 292
Release: 2019-02-06
Genre: Mathematics
ISBN: 0429650523

This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics reflect Angstrom-scale maps of electron density. The author explores protein sequences (primary structures), both individually and in sets (systems) with the help of probability and information tools. This perspective will enhance the reader’s knowledge of how an important class of molecules is designed and put to task in natural systems, and how we can approach class members in hands-on ways.

Biological Sequence Analysis

Biological Sequence Analysis
Author: Richard Durbin
Publisher:
Total Pages: 0
Release: 1998
Genre: Amino acid sequence
ISBN: 9780511337086

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

Biological Sequence Analysis

Biological Sequence Analysis
Author: Richard Durbin
Publisher: Cambridge University Press
Total Pages: 372
Release: 1998-04-23
Genre: Science
ISBN: 113945739X

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.

Protein Structure Prediction

Protein Structure Prediction
Author: David Webster
Publisher: Springer Science & Business Media
Total Pages: 425
Release: 2008-02-03
Genre: Science
ISBN: 1592593682

The number of protein sequences grows each year, yet the number of structures deposited in the Protein Data Bank remains relatively small. The importance of protein structure prediction cannot be overemphasized, and this volume is a timely addition to the literature in this field. Protein Structure Prediction: Methods and Protocols is a departure from the normal Methods in Molecular Biology series format. By its very nature, protein structure prediction demands that there be a greater mix of theoretical and practical aspects than is normally seen in this series. This book is aimed at both the novice and the experienced researcher who wish for detailed inf- mation in the field of protein structure prediction; a major intention here is to include important information that is needed in the day-to-day work of a research scientist, important information that is not always decipherable in scientific literature. Protein Structure Prediction: Methods and Protocols covers the topic of protein structure prediction in an eclectic fashion, detailing aspects of pred- tion that range from sequence analysis (a starting point for many algorithms) to secondary and tertiary methods, on into the prediction of docked complexes (an essential point in order to fully understand biological function). As this volume progresses, the authors contribute their expert knowledge of protein structure prediction to many disciplines, such as the identification of motifs and domains, the comparative modeling of proteins, and ab initio approaches to protein loop, side chain, and protein prediction.

Protein Bioinformatics

Protein Bioinformatics
Author: Ingvar Eidhammer
Publisher: Wiley
Total Pages: 380
Release: 2004-02-13
Genre: Mathematics
ISBN: 9780470848395

Genomics and bioinformatics play an increasingly important and transformative role in medicine, society and agriculture. The mapping of the human genome has revealed 35,000 or so genes which might code for more than one protein, resulting in 100,000 proteins for the humans alone. Since proteins are attractive targets for developing drugs, efforts are now underway to map sequences and assign functions to many novel proteins. This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include: Provides a comprehensive introduction to the analysis of protein sequence and structure analysis. Takes an algorithmic approach, relying on computational methods rather than theoretical. Provides an integrated presentation of theory, examples, exercises and applications. Includes coverage of both protein structure, and sequence, analysis. Accessible enough for biologists, yet rigorous enough for computer scientists and mathematicians. Supported by a Web site featuring exercises, solutions, images, and computer programs. Visit this website for exercises with solutions, computer programs, errata and additional material: http://www.ii.uib.no/proteinbioinformatics/

Reverse Vaccinology

Reverse Vaccinology
Author: Pedro A Reche
Publisher: Frontiers Media SA
Total Pages: 139
Release: 2020-01-15
Genre:
ISBN: 2889633853

New Developments in Biostatistics and Bioinformatics

New Developments in Biostatistics and Bioinformatics
Author: Jianqing Fan
Publisher: World Scientific
Total Pages: 295
Release: 2009
Genre: Computers
ISBN: 9812837442

This book presents an overview of recent developments in biostatistics and bioinformatics. Written by active researchers in these emerging areas, it is intended to give graduate students and new researchers an idea of where the frontiers of biostatistics and bioinformatics are as well as a forum to learn common techniques in use, so that they can advance the fields via developing new techniques and new results. Extensive references are provided so that researchers can follow the threads to learn more comprehensively what the literature is and to conduct their own research. In particulars, the book covers three important and rapidly advancing topics in biostatistics: analysis of survival and longitudinal data, statistical methods for epidemiology, and bioinformatics.

Bioinformatics: Genomics and Proteomics

Bioinformatics: Genomics and Proteomics
Author: Singh Ruchi
Publisher: Vikas Publishing House
Total Pages: 319
Release: 2015
Genre: Technology & Engineering
ISBN: 9325978555

This is an innovative textbook for undergraduates as well as postgraduates offering basic knowledge of biology. Its aim is to provide state-of-the-art information about this developing science that has the potential to replace existing biological approaches to study genes and proteins. The chapters are explained in a concise yet detailed manner, including ample cross-references, references to literature and databases, tables and illustrations. The book's sound approach to this intricately complex field makes it an exceptional resource for further exploration into biochemistry, molecular biology, genomics and drug designing fields. Abundant learning features make this book the ideal teaching and learning tool. KEY FEATURES • Illustrations to bolster understanding of complex biochemical relations • Tables for quick access to precise data • Extensive end-of-chapter exercises and references • The most basic details furnished for those who are new to biology • User-friendly, Internet-based bioinformatics tools that allow researchers to extract information from databases and analyze it • Analysis of one software tool discussed in each chapter step-by-step from entering the input till interpretation of the results This is an in-depth textbook written for the biologist who wants a thorough understanding of the popular bioinformatics programs and molecular databases currently in use. It provides a broad, application-oriented overview of this technology.