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Overview
Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bio-informatics algorithms. As a volume of the highly successful Methods in Molecular Biology TM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Synopsis
Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms.
Doody Review Services
Reviewer:Basabi Rana, Ph.D.(Loyola University Stritch School of Medicine)
Description:In general, this book describes some of the most useful and widely used techniques in the field of bioinformatics. With a significant number of contributing authors, it covers a wide variety of topics to satisfy the large audience involved in using and developing bioinformatics. Of particular interest are the clinical correlations and the possible implication of bioinformatics in diagnostics and drug design.
Purpose:As indicated by the editor, the authors of this book provide a "detailed description and implementation advice" for a variety of techniques used in the field of molecular biology. These will be of extreme importance to those involved in utilization and development of bioinformatics methods.
Audience:The book is written for students and beginning level bioinformatics researchers. The authors are authorities in the fields of molecular biology and bioinformatics.
Features:The first section on structures focuses primarily on methods used for prediction of protein structure and classification of protein domains. Section II, on inferring function, includes some of the well established techniques based on homology, "Rosetta stone" method, phylogenetic profiling, and phylogenetic shadowing. It also describes methods for predicting regulatory elements, expression patterns, complex formation, and integration of genomics data. Section III, on applications and disease, contains more applied diagnostic aspects and drug discovery. The topics in this section include the importance of microarray data in diagnostics, combinatorial optimization models for finding genetic signatures from gene expression datasets, and utilization in a rodent model of Parkinson's disease. The final section describes analytical and computational methods, which are composed of meta-methods that could be very important for the users and developers of bioinformatics. Inclusion of more illustrations would facilitate understanding.
Assessment:This is a good reference in the field of bioinformatics, particularly for those who are just starting out.
Editorials
Reviewer: Basabi Rana, Ph.D.(Loyola University Stritch School of Medicine)
Description: In general, this book describes some of the most useful and widely used techniques in the field of bioinformatics. With a significant number of contributing authors, it covers a wide variety of topics to satisfy the large audience involved in using and developing bioinformatics. Of particular interest are the clinical correlations and the possible implication of bioinformatics in diagnostics and drug design.
Purpose: As indicated by the editor, the authors of this book provide a "detailed description and implementation advice" for a variety of techniques used in the field of molecular biology. These will be of extreme importance to those involved in utilization and development of bioinformatics methods.
Audience: The book is written for students and beginning level bioinformatics researchers. The authors are authorities in the fields of molecular biology and bioinformatics.
Features: The first section on structures focuses primarily on methods used for prediction of protein structure and classification of protein domains. Section II, on inferring function, includes some of the well established techniques based on homology, "Rosetta stone" method, phylogenetic profiling, and phylogenetic shadowing. It also describes methods for predicting regulatory elements, expression patterns, complex formation, and integration of genomics data. Section III, on applications and disease, contains more applied diagnostic aspects and drug discovery. The topics in this section include the importance of microarray data in diagnostics, combinatorial optimization models for finding genetic signatures from gene expression datasets, and utilization in a rodent model of Parkinson's disease. The final section describes analytical and computational methods, which are composed of meta-methods that could be very important for the users and developers of bioinformatics. Inclusion of more illustrations would facilitate understanding.
Assessment: This is a good reference in the field of bioinformatics, particularly for those who are just starting out.