{"product_id":"bioinformatics-for-geneticists-9780470026199","title":"Bioinformatics for Geneticists","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePraise from the reviews:\u003c\/b\u003e  \u003cp\u003e\u003ci\u003eWithout 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.\u003c\/i\u003e CIRCGENETICS\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThis book may really help to get geneticists and bioinformaticians on ''speaking-terms''... co\u003c\/i\u003e\u003ci\u003entains some essential reading for almost any person working in the field of molecular genetics.\u003c\/i\u003e EUROPEAN JOURNAL OF HUMAN GENETICS\u003c\/p\u003e \u003cp\u003e\u003ci\u003e... an excellent resource... this book should ensure that any researcher''s skill base is maintained.\u003c\/i\u003e GENETICAL RESEARCH\u003c\/p\u003e \u003cp\u003e\u003ci\u003e one of the best available and most accessible texts on bioinformatics and genetics in the postgenome age The writing is clear, with succinct subsections within each chapter.Without reservation, I endorse this text\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"…provides insights into various areas…\" (\u003ci\u003eBooks-On-Line\u003c\/i\u003e)\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eForeword.  \u003c\/i\u003e\u003c\/p\u003e\u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003eContributors.\u003c\/p\u003e \u003cp\u003eGlossary.\u003c\/p\u003e \u003cp\u003eSECTION I AN INTRODUCTION TO BIOINFORMATICS FOR THE GENETICIST.\u003c\/p\u003e \u003cp\u003e1 Bioinformatics challenges for the geneticist (\u003ci\u003eMichael R. Barnes).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 The role of bioinformatics in genetics research.\u003c\/p\u003e \u003cp\u003e1.3 Genetics in the post-genome era.\u003c\/p\u003e \u003cp\u003e1.4 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e2 Managing and manipulating genetic data (\u003ci\u003eKarl W. Broman and Simon C. Heath).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Basic principles.\u003c\/p\u003e \u003cp\u003e2.3 Data entry and storage.\u003c\/p\u003e \u003cp\u003e2.4 Data manipulation.\u003c\/p\u003e \u003cp\u003e2.5 Examples of code.\u003c\/p\u003e \u003cp\u003e2.6 Resources.\u003c\/p\u003e \u003cp\u003e2.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eSECTION II MASTERING GENES, GENOMES AND GENETIC VARIATION DATA.\u003c\/p\u003e \u003cp\u003e3 The HapMap – A haplotype map of the human genome (\u003ci\u003eEllen M. Brown and Bryan J. Barratt).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Accessing the data.\u003c\/p\u003e \u003cp\u003e3.3 Application of HapMap data in association studies.\u003c\/p\u003e \u003cp\u003e3.4 Future Perspectives.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e4 Assembling a view of the human genome (\u003ci\u003eColin A. M. Semple).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Genomic sequence assembly.\u003c\/p\u003e \u003cp\u003e4.3 Annotation from a distance: the generalities.\u003c\/p\u003e \u003cp\u003e4.4 Annotation up close and personal: the specifics.\u003c\/p\u003e \u003cp\u003e4.5 Annotation: the next generation.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e5 Finding, delineating and analysing genes (\u003ci\u003eChristopher Southan and Michael R. Barnes).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 Why learn to predict and analyse genes in the complete genome era?\u003c\/p\u003e \u003cp\u003e5.3 The evidence cascade for gene products.\u003c\/p\u003e \u003cp\u003e5.4 Dealing with the complexities of gene models.\u003c\/p\u003e \u003cp\u003e5.5 Locating known genes in the human genome.\u003c\/p\u003e \u003cp\u003e5.6 Genome portal inspection.\u003c\/p\u003e \u003cp\u003e5.7 Analysing novel genes.\u003c\/p\u003e \u003cp\u003e5.8 Conclusions and prospects.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e6 Comparative genomics (\u003ci\u003eMartin S. Taylor and Richard R. Copley).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 The Genomic landscape.\u003c\/p\u003e \u003cp\u003e6.3 Concepts.\u003c\/p\u003e \u003cp\u003e6.4 Practicalities.\u003c\/p\u003e \u003cp\u003e6.5 Technology.\u003c\/p\u003e \u003cp\u003e6.6 Applications.\u003c\/p\u003e \u003cp\u003e6.7 Challenges and future directions.\u003c\/p\u003e \u003cp\u003e6.8 Conclusion.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eSECTION III BIOINFORMATICS FOR GENETIC STUDY DESIGN AND ANALYSIS.\u003c\/p\u003e \u003cp\u003e7 Identifying mutations in single gene disorders (\u003ci\u003eDavid P. Kelsell, Diana Blaydon and Charles A. Mein).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 Clinical Ascertainment.\u003c\/p\u003e \u003cp\u003e7.3 Genome-wide mapping of monogenic diseases.\u003c\/p\u003e \u003cp\u003e7.4 The nature of mutation in monogenic diseases.\u003c\/p\u003e \u003cp\u003e7.5 Considering epigenetic effects in mendelian traits.\u003c\/p\u003e \u003cp\u003e7.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e8 From Genome Scan Culprit Gene (\u003ci\u003eIan C. Gray).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Theoretical and practical considerations.\u003c\/p\u003e \u003cp\u003e8.3 A stepwise approach to locus refinement and candidate gene identification.\u003c\/p\u003e \u003cp\u003e8.4 Conclusion.\u003c\/p\u003e \u003cp\u003e8.5 A list of the software tools and Web links mentioned in this chapter.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e9 Integrating Genetics, Genomics and Epigenomics to Identify.\u003c\/p\u003e \u003cp\u003eDisease Genes (\u003ci\u003eMichael R. Barnes).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 Dealing with the (draft) human genome sequence.\u003c\/p\u003e \u003cp\u003e9.3 Progressing loci of interest with genomic information.\u003c\/p\u003e \u003cp\u003e9.4 \u003ci\u003eIn silico\u003c\/i\u003e characterization of the IBD5 locus – a case study.\u003c\/p\u003e \u003cp\u003e9.5 Drawing together biological rationale – hypothesis building.\u003c\/p\u003e \u003cp\u003e9.6 Identification of potentially functional polymorphisms.\u003c\/p\u003e \u003cp\u003e9.7 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e10 Tools for statistical genetics (\u003ci\u003eAruna Bansal, Charlotte Vignal and Ralph McGinnis).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 Linkage analysis.\u003c\/p\u003e \u003cp\u003e10.3 Association analysis.\u003c\/p\u003e \u003cp\u003e10.4 Linkage disequilibrium.\u003c\/p\u003e \u003cp\u003e10.5 Quantitative trait locus (QTL) mapping in experimental crosses.\u003c\/p\u003e \u003cp\u003e10.6 Closing remarks.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eSECTION IV MOVING FROM ASSOCIATED GENES TO DISEASE ALLELES.\u003c\/p\u003e \u003cp\u003e11 Predictive functional analysis of polymorphisms: An overview (\u003ci\u003eMary Plumpton and Michael R. Barnes).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction.\u003c\/p\u003e \u003cp\u003e11.2 Principles of predictive functional analysis of polymorphisms.\u003c\/p\u003e \u003cp\u003e11.3 The anatomy of promoter regions and regulatory elements.\u003c\/p\u003e \u003cp\u003e11.4 The anatomy of genes.\u003c\/p\u003e \u003cp\u003e11.5 Pseudogenes and regulatory mRNA.\u003c\/p\u003e \u003cp\u003e11.6 Analysis of novel regulatory elements and motifs in.\u003c\/p\u003e \u003cp\u003enucleotide sequences.\u003c\/p\u003e \u003cp\u003e11.7 Functional analysis of non-synonymous coding polymorphisms.\u003c\/p\u003e \u003cp\u003e11.8 Integrated tools for functional analysis of genetic variation.\u003c\/p\u003e \u003cp\u003e11.9 A note of caution on the prioritization of \u003ci\u003ein silico\u003c\/i\u003e predictions for.\u003c\/p\u003e \u003cp\u003efurther laboratory investigation.\u003c\/p\u003e \u003cp\u003e11.10 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e12 Functional \u003ci\u003ein silico\u003c\/i\u003e analysis of gene regulatory polymorphism (\u003ci\u003eChaolin Zhang, Xiaoyue Zhao, Michael Q. Zhang).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction.\u003c\/p\u003e \u003cp\u003e12.2 Predicting regulatory regions.\u003c\/p\u003e \u003cp\u003e12.3 Modelling and predicting transcription factor-binding sites.\u003c\/p\u003e \u003cp\u003e12.4 Predicting regulatory elements for splicing regulation.\u003c\/p\u003e \u003cp\u003e12.5 Evaluating the functional importance of.\u003c\/p\u003e \u003cp\u003eregulatory polymorphisms.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e13 Amino-acid properties and consequences of substitutions (\u003ci\u003eMatthew J. Betts and Robert B. Russell).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction.\u003c\/p\u003e \u003cp\u003e13.2 Protein features relevant to amino-acid behaviour.\u003c\/p\u003e \u003cp\u003e13.3 Amino-acid classifications.\u003c\/p\u003e \u003cp\u003e13.4 Properties of the amino acids.\u003c\/p\u003e \u003cp\u003e13.5 Amino-acid quick reference.\u003c\/p\u003e \u003cp\u003e13.6 Studies of how mutations affect function.\u003c\/p\u003e \u003cp\u003e13.7 A summary of the thought process.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e14 Non-coding RNA bioinformatics (\u003ci\u003eJames Brown, Steve Deharo, Barry Dancis, Michael R. Barnes and Philippe Sanseau).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction.\u003c\/p\u003e \u003cp\u003e14.2 The non-coding (nc) RNA universe.\u003c\/p\u003e \u003cp\u003e14.3 Computational analysis of ncRNA.\u003c\/p\u003e \u003cp\u003e14.4 ncRNA variation in disease.\u003c\/p\u003e \u003cp\u003e14.5 Assessing the impact of variation in ncRNA.\u003c\/p\u003e \u003cp\u003e14.6 Data resources to support small ncRNA analysis.\u003c\/p\u003e \u003cp\u003e14.7 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eSECTION V ANALYSIS AT THE GENETIC AND GENOMIC DATA INTERFACE.\u003c\/p\u003e \u003cp\u003e15 What are microarrays? (\u003ci\u003eCatherine A. Ball and Gavin Sherlock).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction.\u003c\/p\u003e \u003cp\u003e15.2 Principles of the application of microarray technology.\u003c\/p\u003e \u003cp\u003e15.3 Complementary approaches to microarray analysis.\u003c\/p\u003e \u003cp\u003e15.4 Differences between data repository and research database.\u003c\/p\u003e \u003cp\u003e15.5 Descriptions of freely available research database packages.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e16 Combining quantitative trait and gene-expression data (\u003ci\u003eElissa J. Chesler).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction: the genetic regulation of endophenotypes.\u003c\/p\u003e \u003cp\u003e16.2 Transcript abundance as a complex phenotype.\u003c\/p\u003e \u003cp\u003e16.3 Scaling up genetic analysis and mapping models for microarrays.\u003c\/p\u003e \u003cp\u003e16.4 Genetic correlation analysis.\u003c\/p\u003e \u003cp\u003e16.5 Systems genetic analysis.\u003c\/p\u003e \u003cp\u003e16.6 Using expression QTLs to identify candidate genes for the regulation of complex phenotypes.\u003c\/p\u003e \u003cp\u003e16.7 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e17 Bioinformatics and cancer genetics (\u003ci\u003eJoel Greshock).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction.\u003c\/p\u003e \u003cp\u003e17.2 Cancer genomes.\u003c\/p\u003e \u003cp\u003e17.3 Approaches to studying cancer genetics.\u003c\/p\u003e \u003cp\u003e17.4 General resources for cancer genetics.\u003c\/p\u003e \u003cp\u003e17.5 Cancer genes and mutations.\u003c\/p\u003e \u003cp\u003e17.6 Copy number alterations in cancer.\u003c\/p\u003e \u003cp\u003e17.7 Loss of heterozygosity in cancer.\u003c\/p\u003e \u003cp\u003e17.8 Gene-expression data in cancer.\u003c\/p\u003e \u003cp\u003e17.9 Multiplatform gene target identification.\u003c\/p\u003e \u003cp\u003e17.10 The epigenetics of cancer.\u003c\/p\u003e \u003cp\u003e17.11 Tumour modelling.\u003c\/p\u003e \u003cp\u003e17.12 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e18 Needle in a haystack? dealing with 500 SNP genome scans (\u003ci\u003eMichael R. Barnes and Paul S. Derwent).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction.\u003c\/p\u003e \u003cp\u003e18.2 Genome scan analysis issues.\u003c\/p\u003e \u003cp\u003e18.3 Ultra-high-density genome-scanning technologies.\u003c\/p\u003e \u003cp\u003e18.4 Bioinformatics for genome scan analysis.\u003c\/p\u003e \u003cp\u003e18.5 Conclusions.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e19 A bioinformatics perspective on genetics in drug discovery and development (\u003ci\u003eChristopher D. Southan, Magnus Ulvsb¨ack and Michael R. Barnes).\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction.\u003c\/p\u003e \u003cp\u003e19.2 Target genetics.\u003c\/p\u003e \u003cp\u003e19.3 Pharmacogenetics (PGx).\u003c\/p\u003e \u003cp\u003e19.4 Conclusions: toward ‘personalized medicine’.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eAppendix I.\u003c\/p\u003e \u003cp\u003eAppendix II.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":51037067379031,"sku":"9780470026199","price":170.06,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470026199.jpg?v=1750934237","url":"https:\/\/bookcurl.com\/products\/bioinformatics-for-geneticists-9780470026199","provider":"Book Curl","version":"1.0","type":"link"}