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ISBN-10: 0470026197

ISBN-13: 9780470026199

ISBN-10: 0470059184

ISBN-13: 9780470059180

Praise from the reviews:

"Without reservation, I advocate this article because the most sensible source i have encountered that well introduces and summarizes many issues i have discovered via years of experience.  The gemstones of fact present in this booklet will serve good those that desire to follow bioinformatics of their day-by-day paintings, in addition to aid them propose others during this capacity." CIRCGENETICS

"This ebook may possibly fairly aid to get geneticists and bioinformaticians on 'speaking-terms'... contains a few crucial interpreting for nearly anyone operating within the box of molecular genetics." ecu magazine OF HUMAN GENETICS 

"... a superb resource... this ebook should still make sure that any researcher's ability base is maintained." GENETICAL examine

“… the most effective on hand and so much available texts on bioinformatics and genetics within the postgenome age… The writing is apparent, with succinct subsections inside of each one chapter….Without reservation, I suggest this article because the most sensible source I’ve encountered that smartly introduces and summarizes many issues I’ve discovered 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.”  movement: CARDIOVASCULAR GENETICS

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

The research of human genetics is getting into a not easy new period. New applied sciences and information assets similar to the HapMap are permitting genome-wide experiences, which may in all likelihood establish commonest genetic determinants of human future health, illness and drug reaction. With those large new information assets to hand, greater than ever care is needed of their use. confronted with the sheer quantity of genetics and genomic info, bioinformatics is key to prevent drowning actual 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 consumer delivering causes of the way and why a device works and the way it may be used to maximum influence. eventually specialists from fields allied to genetics supply perception into the easiest genomics instruments and knowledge to reinforce a genetic scan.

Hallmark good points of the second one Edition:

  • Illustrates the price of bioinformatics as a regularly evolving road into novel ways to review genetics
  • The simply publication in particular addressing the bioinformatics wishes of geneticists
  • More than 50% of chapters are thoroughly new contributions
  • Dramatically revised content material in center components of gene and genomic characterisation, pathway research, SNP useful research and statistical genetics
  • Focused on freely on hand instruments and web-based ways to bioinformatics research, compatible for newcomers and skilled researchers alike

Bioinformatics for Geneticists, moment Edition describes the major bioinformatics and genetic research methods which are had to determine human genetic determinants. The ebook relies upon the mixed useful event of area specialists from educational and business examine environments and is of curiosity to a large 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 handling and Manipulating Genetic information (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 opting for Mutations in unmarried Gene issues (pages 145–164): David P. Kelsell, Diana Blaydon and Charles A. Mein
Chapter eight From Genome test to offender Gene (pages 165–184): Ian C. Gray
Chapter nine Integrating Genetics, Genomics and Epigenomics to spot disorder 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 summary (pages 247–280): Mary Plumpton and Michael R. Barnes
Chapter 12 practical in Silico research of Gene Regulatory Polymorphism (pages 281–309): Chaolin Zhang, Xiaoyue Zhao and Michael Q. Zhang
Chapter thirteen Amino?Acid homes and effects 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 info (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 info for Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data, Second Edition

Sample text

Gov/12514423). Following this decision, HapMap data has become available via a number of different sources. html. jp). 2). nlm.

There are generally many approaches to any program; do not concern yourself initially (if at all) with finding the optimal solution. Another trade-off arises here: time to construct the program versus time to run the program. For tasks in data manipulation, efficiency of computation is seldom of much importance. First solve the problem. If it is later seen to be important to reduce computation time, seek a more optimal solution, but retain your initial solution as a benchmark. 3 Data entry and storage Data seldom begin their life within a computer; ideally, they are transmitted directly from the measuring instrument to the computer.

Am J Hum Genet 79(1), 67–84. , Yuan, Y. P. et al. (2002). HGVbase: a human sequence variation database emphasizing data quality and a broad spectrum of data sources. Nucleic Acids Res 30, 387–391. , Lunshof, J. E. and Altman, R. B. (2006) A call for the creation of personalized medicine databases. Nat Rev Drug Discov 5(1), 23–26. Hopkins, A. L. and Groom, C. R. (2002). The druggable genome. Nat Rev Drug Discov 1(9), 727–730. Hugot, J. , Zouali, H. et al. (2001). Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn’s disease.

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

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