Bioinformatics for Geneticists : a Bioinformatic Primer for the Analysis of Genetic Data – 2007
1000 در انبار
Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data
- Paperback: ۵۷۶ pages
- Publisher: Wiley; 2 edition (April 16, 2007)
- Language: English
- ISBN-10: ۰۴۷۰۰۲۶۲۰۰
- ISBN-13: ۹۷۸-۰۴۷۰۰۲۶۲۰۵
” …an excellent resource…this book should ensure that any researcher’s skill base is maintained” (Genetical Research, ۲۰۰۷)
“…this book contains some essential reading for almost any person working in the field of molecular genetics.” (European Journal Of Human Genetics, ۲۰۰۷)
“Over 19 chapters, the authors cover an impressive terrain. The focus is mainly on human genetics and genomics, with research in other species also presented, particularly where it supports and advances our understanding of human genetics. Although a thoughtful discussion of the relevant literature and techniques is found in each chapter, the book is not overly technical and does not present advanced mathematical, statistical, or genetic concepts in great depth. Instead, focus is on practical applications, available tools, software, and databases, and the presentation supporting real world research examples. The end result is one of the best available and most accessible texts on bioinformatics and genetics in the postgenome age…this book in its current edition still serves as one of the best resources available, particularly in chapters on noncoding RNAs, pharmacogenetics, and drug discovery, microarrays/gene expression, regulatory polymorphisms, and the potential impacts of amino acid changes. The writing is clear, with succinct subsections within each chapter….Without reservation, I endorse this text as the best resource I’ve encountered that neatly introduces and summarizes many points I’ve learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity.” (Circulation: Cardiovascular Genetics, ۲۰۰۸)
From the Back Cover
The study of human genetics is moving into a challenging new era of discovery. New technologies and data resources such as the HapMap, are enabling genome-wide genetic association studies which could potentially identify most common (and some rarer) genetic determinants of human health, disease and drug response. Although the tools may be at hand, more than ever care is required in their use. Faced with the sheer volume of data threatening to drown true signal in noise, bioinformatics is now assuming a central role in genetic study design, analysis and interpretation.
Coupled with the advances in genetics, new insights are emerging into additional layers of complexity in genome function, for example the role of micro RNA in control of gene translation and new cis-regulatory elements identified by genetic analysis of gene expression. Understanding genetics will require an effective synthesis of this complexity and, as this book shows, this is simply not possible without bioinformatics.
Bioinformatics for Geneticists seeks to describe the key bioinformatics and genetic analysis processes that are needed to identify human genetic determinants. The book is based upon the combined practical experience of domain experts from academic and industrial research environments and should be of interest to a broad audience, including students, researchers and clinicians working in the human genetics domain.
- More than 50% of chapters are completely new contributions, covering data manipulation and management, the HapMap, micro RNA, comparative genomics, epigenetics, cancer genetics, genetic analysis of gene expression, high-density genome scan analysis, pharmacogenetics and drug discovery.
- Dramatically revised content in core areas of gene and genomic characterization, pathway analysis, SNP functional analysis and statistical genetics.
- Focused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike.