{"product_id":"bioinformatics-for-geneticists-a-bioinformatics-primer-for-the-analysis-of-genetic-data-hardback-9780470026199","title":"Bioinformatics for Geneticists; A Bioinformatics Primer for the Analysis of Genetic Data (Hardback) 9780470026199","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eBioinformatics for Geneticists\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Bioinformatics Primer for the Analysis of Genetic Data\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMichael R. Barnes (Edited by), MR Barnes (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470026199, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 9 March 2007\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e576 pages\u003cbr\u003e25.2 x 17.3 x 3.7 cm, 1.162 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"…provides insights into various areas…\" (\u003ci\u003eBooks-On-Line\u003c\/i\u003e)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003ePraise from the reviews:\u003c\/b\u003e  \u003cp\u003e\u003ci\u003e\"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.\"\u003c\/i\u003e CIRCGENETICS\u003c\/p\u003e \u003cp\u003e\u003ci\u003e\"This 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 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  CIRCULATION: CARDIOVASCULAR GENETICS\u003c\/p\u003e \u003cp\u003eA fully revised version of the successful First Edition, this one-stop reference book enables all geneticists to improve the efficiency of their research.\u003c\/p\u003e \u003cp\u003eThe study of human genetics is moving into a challenging new era. New technologies and data resources such as the HapMap are enabling genome-wide studies, which could potentially identify most common genetic determinants of human health, disease and drug response. With these tremendous new data resources at hand, more than ever care is required in their use. Faced with the sheer volume of genetics and genomic data, bioinformatics is essential to avoid drowning true signal in noise. Considering these challenges, \u003ci\u003eBioinformatics for Geneticists, Second Edition\u003c\/i\u003e works at multiple levels: firstly, for the occasional user who simply wants to extract or analyse specific data; secondly, at the level of the advanced user providing explanations of how and why a tool works and how it can be used to greatest effect. Finally experts from fields allied to genetics give insight into the best genomics tools and data to enhance a genetic experiment.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eHallmark Features of the Second Edition:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eIllustrates the value of bioinformatics as a constantly evolving avenue into novel approaches to study genetics\u003c\/li\u003e \u003cli\u003eThe only book specifically addressing the bioinformatics needs of geneticists\u003c\/li\u003e \u003cli\u003eMore than 50% of chapters are completely new contributions\u003c\/li\u003e \u003cli\u003eDramatically revised content in core areas of gene and genomic characterisation, pathway analysis, SNP functional analysis and statistical genetics\u003c\/li\u003e \u003cli\u003eFocused on freely available tools and web-based approaches to bioinformatics analysis, suitable for novices and experienced researchers alike\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBioinformatics for Geneticists, Second Edition\u003c\/i\u003e describes 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 is of interest to a broad audience, including students, researchers and clinicians working in the human genetics domain.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eContributors xvii\u003c\/p\u003e \u003cp\u003eGlossary xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection I An Introduction to Bioinformatics for The Geneticist 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Bioinformatics challenges for the geneticist 3\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMichael R. Barnes\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 3\u003c\/p\u003e \u003cp\u003e1.2 The role of bioinformatics in genetics research 4\u003c\/p\u003e \u003cp\u003e1.3 Genetics in the post-genome era 5\u003c\/p\u003e \u003cp\u003e1.4 Conclusions 12\u003c\/p\u003e \u003cp\u003eReferences 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Managing and manipulating genetic data 17\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eKarl W. Broman and Simon C. Heath\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 17\u003c\/p\u003e \u003cp\u003e2.2 Basic principles 18\u003c\/p\u003e \u003cp\u003e2.3 Data entry and storage 20\u003c\/p\u003e \u003cp\u003e2.4 Data manipulation 21\u003c\/p\u003e \u003cp\u003e2.5 Examples of code 22\u003c\/p\u003e \u003cp\u003e2.6 Resources 30\u003c\/p\u003e \u003cp\u003e2.7 Summary 31\u003c\/p\u003e \u003cp\u003eReferences 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection II Mastering Genes, Genomes and Genetic Variation Data 33\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 The HapMap – A haplotype map of the human genome 35\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eEllen M. Brown and Bryan J. Barratt\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 35\u003c\/p\u003e \u003cp\u003e3.2 Accessing the data 38\u003c\/p\u003e \u003cp\u003e3.3 Application of HapMap data in association studies 42\u003c\/p\u003e \u003cp\u003e3.4 Future perspectives 54\u003c\/p\u003e \u003cp\u003eReferences 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Assembling a view of the human genome 59\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eColin A. M. Semple\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 59\u003c\/p\u003e \u003cp\u003e4.2 Genomic sequence assembly 60\u003c\/p\u003e \u003cp\u003e4.3 Annotation from a distance: the generalities 64\u003c\/p\u003e \u003cp\u003e4.4 Annotation up close and personal: the specifics 70\u003c\/p\u003e \u003cp\u003e4.5 Annotation: the next generation 78\u003c\/p\u003e \u003cp\u003eReferences 80\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Finding, delineating and analysing genes 85\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChristopher Southan and Michael R. Barnes\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 85\u003c\/p\u003e \u003cp\u003e5.2 Why learn to predict and analyse genes in the complete genome era? 86\u003c\/p\u003e \u003cp\u003e5.3 The evidence cascade for gene products 88\u003c\/p\u003e \u003cp\u003e5.4 Dealing with the complexities of gene models 95\u003c\/p\u003e \u003cp\u003e5.5 Locating known genes in the human genome 97\u003c\/p\u003e \u003cp\u003e5.6 Genome portal inspection 100\u003c\/p\u003e \u003cp\u003e5.7 Analysing novel genes 101\u003c\/p\u003e \u003cp\u003e5.8 Conclusions and prospects 102\u003c\/p\u003e \u003cp\u003eReferences 103\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Comparative genomics 105\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eMartin S. Taylor and Richard R. Copley\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 105\u003c\/p\u003e \u003cp\u003e6.2 The genomic landscape 106\u003c\/p\u003e \u003cp\u003e6.3 Concepts 109\u003c\/p\u003e \u003cp\u003e6.4 Practicalities 113\u003c\/p\u003e \u003cp\u003e6.5 Technology 118\u003c\/p\u003e \u003cp\u003e6.6 Applications 132\u003c\/p\u003e \u003cp\u003e6.7 Challenges and future directions 137\u003c\/p\u003e \u003cp\u003e6.8 Conclusion 138\u003c\/p\u003e \u003cp\u003eReferences 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection III Bioinformatics for Genetic Study Design and Analysis 145\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Identifying mutations in single gene disorders 147\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDavid P. Kelsell, Diana Blaydon and Charles A. Mein\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 147\u003c\/p\u003e \u003cp\u003e7.2 Clinical ascertainment 147\u003c\/p\u003e \u003cp\u003e7.3 Genome-wide mapping of monogenic diseases 148\u003c\/p\u003e \u003cp\u003e7.4 The nature of mutation in monogenic diseases 152\u003c\/p\u003e \u003cp\u003e7.5 Considering epigenetic effects in mendelian traits 160\u003c\/p\u003e \u003cp\u003e7.6 Summary 162\u003c\/p\u003e \u003cp\u003eReferences 162\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 From Genome Scan to Culprit Gene 165\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eIan C. Gray\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 165\u003c\/p\u003e \u003cp\u003e8.2 Theoretical and practical considerations 166\u003c\/p\u003e \u003cp\u003e8.3 A stepwise approach to locus refinement and candidate gene identification 176\u003c\/p\u003e \u003cp\u003e8.4 Conclusion 180\u003c\/p\u003e \u003cp\u003e8.5 A list of the software tools and Web links mentioned in this chapter 181\u003c\/p\u003e \u003cp\u003eReferences 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Integrating Genetics, Genomics and Epigenomics to Identify Disease Genes 185\u003c\/b\u003e\u003cbr\u003e \u003ci\u003eMichael R. Barnes\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 185\u003c\/p\u003e \u003cp\u003e9.2 Dealing with the (draft) human genome sequence 186\u003c\/p\u003e \u003cp\u003e9.3 Progressing loci of interest with genomic information 187\u003c\/p\u003e \u003cp\u003e9.4 In silico characterization of the IBD5 locus – a case study 191\u003c\/p\u003e \u003cp\u003e9.5 Drawing together biological rationale – hypothesis building 209\u003c\/p\u003e \u003cp\u003e9.6 Identification of potentially functional polymorphisms 211\u003c\/p\u003e \u003cp\u003e9.7 Conclusions 212\u003c\/p\u003e \u003cp\u003eReferences 213\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Tools for statistical genetics 217\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAruna Bansal, Charlotte Vignal and Ralph McGinnis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 217\u003c\/p\u003e \u003cp\u003e10.2 Linkage analysis 217\u003c\/p\u003e \u003cp\u003e10.3 Association analysis 223\u003c\/p\u003e \u003cp\u003e10.4 Linkage disequilibrium 229\u003c\/p\u003e \u003cp\u003e10.5 Quantitative trait locus (QTL) mapping in experimental crosses 235\u003c\/p\u003e \u003cp\u003e10.6 Closing remarks 239\u003c\/p\u003e \u003cp\u003eReferences 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection IV Moving From Associated Genes to Disease Alleles 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Predictive functional analysis of polymorphisms: An overview 249\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMary Plumpton and Michael R. Barnes\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 249\u003c\/p\u003e \u003cp\u003e11.2 Principles of predictive functional analysis of polymorphisms 252\u003c\/p\u003e \u003cp\u003e11.3 The anatomy of promoter regions and regulatory elements 256\u003c\/p\u003e \u003cp\u003e11.4 The anatomy of genes 258\u003c\/p\u003e \u003cp\u003e11.5 Pseudogenes and regulatory mRNA 266\u003c\/p\u003e \u003cp\u003e11.6 Analysis of novel regulatory elements and motifs in nucleotide sequences 266\u003c\/p\u003e \u003cp\u003e11.7 Functional analysis of non-synonymous coding polymorphisms 268\u003c\/p\u003e \u003cp\u003e11.8 Integrated tools for functional analysis of genetic variation 273\u003c\/p\u003e \u003cp\u003e11.9 A note of caution on the prioritization of in silico predictions for further laboratory investigation 275\u003c\/p\u003e \u003cp\u003e11.10 Conclusions 275\u003c\/p\u003e \u003cp\u003eReferences 276\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Functional in silico analysis of gene regulatory polymorphism 281\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChaolin Zhang, Xiaoyue Zhao, Michael Q. Zhang\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 281\u003c\/p\u003e \u003cp\u003e12.2 Predicting regulatory regions 282\u003c\/p\u003e \u003cp\u003e12.3 Modelling and predicting transcription factor-binding sites 288\u003c\/p\u003e \u003cp\u003e12.4 Predicting regulatory elements for splicing regulation 295\u003c\/p\u003e \u003cp\u003e12.5 Evaluating the functional importance of regulatory polymorphisms 300\u003c\/p\u003e \u003cp\u003eReferences 302\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Amino-acid properties and consequences of substitutions 311\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMatthew J. Betts and Robert B. Russell\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 311\u003c\/p\u003e \u003cp\u003e13.2 Protein features relevant to amino-acid behaviour 312\u003c\/p\u003e \u003cp\u003e13.3 Amino-acid classifications 316\u003c\/p\u003e \u003cp\u003e13.4 Properties of the amino acids 318\u003c\/p\u003e \u003cp\u003e13.5 Amino-acid quick reference 321\u003c\/p\u003e \u003cp\u003e13.6 Studies of how mutations affect function 334\u003c\/p\u003e \u003cp\u003e13.7 A summary of the thought process 339\u003c\/p\u003e \u003cp\u003eReferences 340\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Non-coding RNA bioinformatics 343\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJames R. Brown, Steve Deharo, Barry Dancis, Michael R. Barnes and Philippe Sanseau\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 343\u003c\/p\u003e \u003cp\u003e14.2 The non-coding (nc) RNA universe 344\u003c\/p\u003e \u003cp\u003e14.3 Computational analysis of ncRNA 349\u003c\/p\u003e \u003cp\u003e14.4 ncRNA variation in disease 356\u003c\/p\u003e \u003cp\u003e14.5 Assessing the impact of variation in ncRNA 362\u003c\/p\u003e \u003cp\u003e14.6 Data resources to support small ncRNA analysis 363\u003c\/p\u003e \u003cp\u003e14.7 Conclusions 363\u003c\/p\u003e \u003cp\u003eReferences 364\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection V Analysis at the Genetic and Genomic Data Interface 369\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 What are microarrays? 371\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eCatherine A. Ball and Gavin Sherlock\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 371\u003c\/p\u003e \u003cp\u003e15.2 Principles of the application of microarray technology 373\u003c\/p\u003e \u003cp\u003e15.3 Complementary approaches to microarray analysis 377\u003c\/p\u003e \u003cp\u003e15.4 Differences between data repository and research database 377\u003c\/p\u003e \u003cp\u003e15.5 Descriptions of freely available research database packages 377\u003c\/p\u003e \u003cp\u003eReferences 385\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Combining quantitative trait and gene-expression data 389\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eElissa J. Chesler\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction: the genetic regulation of endophenotypes 389\u003c\/p\u003e \u003cp\u003e16.2 Transcript abundance as a complex phenotype 390\u003c\/p\u003e \u003cp\u003e16.3 Scaling up genetic analysis and mapping models for microarrays 394\u003c\/p\u003e \u003cp\u003e16.4 Genetic correlation analysis 397\u003c\/p\u003e \u003cp\u003e16.5 Systems genetic analysis 400\u003c\/p\u003e \u003cp\u003e16.6 Using expression QTLs to identify candidate genes for the regulation of complex phenotypes 403\u003c\/p\u003e \u003cp\u003e16.7 Conclusions 408\u003c\/p\u003e \u003cp\u003eReferences 408\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Bioinformatics and cancer genetics 413\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJoel Greshock\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 413\u003c\/p\u003e \u003cp\u003e17.2 Cancer genomes 414\u003c\/p\u003e \u003cp\u003e17.3 Approaches to studying cancer genetics 415\u003c\/p\u003e \u003cp\u003e17.4 General resources for cancer genetics 418\u003c\/p\u003e \u003cp\u003e17.5 Cancer genes and mutations 420\u003c\/p\u003e \u003cp\u003e17.6 Copy number alterations in cancer 425\u003c\/p\u003e \u003cp\u003e17.7 Loss of heterozygosity in cancer 431\u003c\/p\u003e \u003cp\u003e17.8 Gene-expression data in cancer 432\u003c\/p\u003e \u003cp\u003e17.9 Multiplatform gene target identification 435\u003c\/p\u003e \u003cp\u003e17.10 The epigenetics of cancer 438\u003c\/p\u003e \u003cp\u003e17.11 Tumour modelling 438\u003c\/p\u003e \u003cp\u003e17.12 Conclusions 439\u003c\/p\u003e \u003cp\u003eReferences 439\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Needle in a haystack? Dealing with 500 000\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSNP genome scans 447\u003cbr\u003e \u003ci\u003eMichael R. Barnes and Paul S. Derwent\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 447\u003c\/p\u003e \u003cp\u003e18.2 Genome scan analysis issues 449\u003c\/p\u003e \u003cp\u003e18.3 Ultra-high-density genome-scanning technologies 459\u003c\/p\u003e \u003cp\u003e18.4 Bioinformatics for genome scan analysis 469\u003c\/p\u003e \u003cp\u003e18.5 Conclusions 489\u003c\/p\u003e \u003cp\u003eReferences 490\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 A bioinformatics perspective on genetics in drug discovery and development 495\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChristopher Southan, Magnus Ulvsbäck and Michael R. Barnes\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 495\u003c\/p\u003e \u003cp\u003e19.2 Target genetics 498\u003c\/p\u003e \u003cp\u003e19.3 Pharmacogenetics (PGx) 508\u003c\/p\u003e \u003cp\u003e19.4 Conclusions: toward ‘personalized medicine’ 525\u003c\/p\u003e \u003cp\u003eReferences 525\u003c\/p\u003e \u003cp\u003eAppendix I 529\u003c\/p\u003e \u003cp\u003eAppendix II 531\u003c\/p\u003e \u003cp\u003eIndex 537\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Biology, life sciences [\u003ca title=\"See our other books on Biology, life sciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Biology,%20life%20sciences%20%5BPS%5D%22\"\u003ePS\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52256246595864,"sku":"9780470026199","price":166.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470026199.jpg?v=1781274517","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/bioinformatics-for-geneticists-a-bioinformatics-primer-for-the-analysis-of-genetic-data-hardback-9780470026199","provider":"Freshly Printed Books","version":"1.0","type":"link"}