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ISBN-10: 0470026197

ISBN-13: 9780470026199

ISBN-10: 0470059184

ISBN-13: 9780470059180

Praise from the reviews:

"Without reservation, I advise this article because the top source i have encountered that smartly introduces and summarizes many issues i have realized via years of experience.  The gem stones of fact present in this e-book will serve good those that desire to observe bioinformatics of their day-by-day paintings, in addition to aid them propose others during this capacity." CIRCGENETICS

"This e-book may perhaps particularly support to get geneticists and bioinformaticians on 'speaking-terms'... contains a few crucial interpreting for nearly anyone operating within the box of molecular genetics." eu magazine OF HUMAN GENETICS 

"... an outstanding resource... this ebook should still make sure that any researcher's ability base is maintained." GENETICAL learn

“… the most effective to be had and so much obtainable texts on bioinformatics and genetics within the postgenome age… The writing is obvious, with succinct subsections inside of every one chapter….Without reservation, I advocate this article because the top source I’ve encountered that well introduces and summarizes many issues I’ve realized via years of expertise. The gemstones of fact present in this booklet will serve good those that desire to observe bioinformatics of their day-by-day paintings, in addition to aid them propose others during this capacity.”  circulate: CARDIOVASCULAR GENETICS

an absolutely revised model of the winning First variation, this one-stop reference ebook allows all geneticists to enhance the potency in their examine.

The examine of human genetics is stepping into a tough new period. New applied sciences and knowledge assets akin to the HapMap are allowing genome-wide reviews, that may almost certainly establish most typical genetic determinants of human well-being, disorder and drug reaction. With those super new information assets to hand, greater than ever care is needed of their use. confronted with the sheer quantity of genetics and genomic facts, bioinformatics is key to prevent drowning precise sign in noise. contemplating those demanding situations, Bioinformatics for Geneticists, moment Edition works at a number of degrees: first of all, for the occasional person who easily desires to extract or examine particular info; secondly, on the point of the complex person delivering motives of the way and why a device works and the way it may be used to maximum impact. ultimately specialists from fields allied to genetics provide perception into the easiest genomics instruments and knowledge to augment a genetic scan.

Hallmark gains of the second one Edition:

  • Illustrates the price of bioinformatics as a continually evolving road into novel methods to check genetics
  • The purely publication particularly addressing the bioinformatics wishes of geneticists
  • More than 50% of chapters are thoroughly new contributions
  • Dramatically revised content material in middle components of gene and genomic characterisation, pathway research, SNP practical research and statistical genetics
  • Focused on freely on hand instruments and web-based ways to bioinformatics research, appropriate for newcomers and skilled researchers alike

Bioinformatics for Geneticists, moment Edition describes the main bioinformatics and genetic research procedures which are had to determine human genetic determinants. The e-book is predicated upon the mixed useful adventure of area specialists from educational and commercial study environments and is of curiosity to a huge viewers, together with scholars, researchers and clinicians operating within the human genetics domain.Content:
Chapter 1 Bioinformatics demanding situations for the Geneticist (pages 1–16): Michael R. Barnes
Chapter 2 coping with and Manipulating Genetic facts (pages 17–31): Karl W. Broman and Simon C. Heath
Chapter three The HapMap – A Haplotype Map of the Human Genome (pages 33–58): Ellen M. Brown and Bryan J. Barratt
Chapter four Assembling a View of the Human Genome (pages 59–84): Colin A. M. Semple
Chapter five discovering, Delineating and Analysing Genes (pages 85–104): Christopher Southan and Michael R. Barnes
Chapter 6 Comparative Genomics (pages 105–144): Martin S. Taylor and Richard R. Copley
Chapter 7 making a choice on Mutations in unmarried Gene issues (pages 145–164): David P. Kelsell, Diana Blaydon and Charles A. Mein
Chapter eight From Genome experiment to wrongdoer Gene (pages 165–184): Ian C. Gray
Chapter nine Integrating Genetics, Genomics and Epigenomics to spot sickness Genes (pages 185–215): Michael R. Barnes
Chapter 10 instruments for Statistical Genetics (pages 217–246): Aruna Bansal, Charlotte Vignal and Ralph McGinnis
Chapter eleven Predictive sensible research of Polymorphisms: an outline (pages 247–280): Mary Plumpton and Michael R. Barnes
Chapter 12 sensible in Silico research of Gene Regulatory Polymorphism (pages 281–309): Chaolin Zhang, Xiaoyue Zhao and Michael Q. Zhang
Chapter thirteen Amino?Acid homes and results of Substitutions (pages 311–342): Matthew J. Betts and Robert B. Russell
Chapter 14 Non?Coding RNA Bioinformatics (pages 343–368): James R. Brown, Steve Deharo, Barry Dancis, Michael R. Barnes and Philippe Sanseau
Chapter 15 What are Microarrays? (pages 369–387): Catherine A. Ball and Gavin Sherlock
Chapter sixteen Combining Quantitative Trait and Gene?Expression information (pages 389–411): Elissa J. Chesler
Chapter 17 Bioinformatics and melanoma Genetics (pages 413–445): Joel Greshock
Chapter 18 Needle in a Haystack? facing 500 000 SNP Genome Scans (pages 447–493): Michael R. Barnes and Paul S. Derwent
Chapter 19 A Bioinformatics viewpoint on Genetics in Drug Discovery and improvement (pages 495–528): Christopher Southan, Magnus Ulvsback and Michael R. Barnes

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Additional resources for Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data, Second Edition

Sample text

SNPs selected for genotyping in phase I were deliberately biased toward those with minor allele frequencies greater than 5 per cent, and SNPs in coding regions were prioritized within each 5 kb bin (International HapMap Consortium, 2005). In addition to the overall target of an average spacing of 5 kb, the selection of SNPs in phase I was augmented in 10 of the 500-kb regions studied as part of the ENCODE ( ENCyclopedia of DNA Elements) project (ENCODE Project Consortium, 2004). These regions were re-sequenced in 48 unrelated subjects OTE/SPH JWBK136-03 OTE/SPH February 16, 2007 38 15:13 Char Count= 0 CH 3 THE HapMap – A HAPLOTYPE MAP OF THE HUMAN GENOME (16 YRI, 16 CEU, eight CHB and eight JPT), and genotyping was attempted for all SNPs whether novel or publicly available in dbSNP.

Readers interested in the use of Perl for sequence data may wish to look at Tisdall (2001, 2003). Moorhouse and Barry (2004) will also be of interest. edu/register. 7 Summary The ever-increasing size and complexity of genetic data has led to an increasing need for geneticists to learn computer programming. As the most fundamental task for the genetic data analysis involves the manipulation of data files, proficiency in a computer language, such as Perl, with which such manipulation of text files is most natural, is recommended.

Cottingham, R. , Idury, R. M. and Schaffer, A. A. (1993). Faster sequential genetic linkage computations. Am J Hum Genet 53, 252–263. Dwyer, R. A. (2003). Genomic Perl. Cambridge: Cambridge University Press. Lathrop, G. , Lalouel, J. , Julier, C. et al. (1984). Strategies for multilocus linkage analysis in humans. Proc Natl Acad Sci USA 81, 3443–3446. Moorhouse, M. and Barry, P. (2004). Bioinformatics Biocomputing and Perl. Chichester: Wiley. , Schroeder, M. et al. (2005). Mega2: data-handling for facilitating genetic linkage and association analyses.

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Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data, Second Edition

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