Genetic variation : methods and protocols

Author(s)

    • Barnes, Michael R.
    • Breen, Gerome

Bibliographic Information

Genetic variation : methods and protocols

edited by Michael R. Barnes, Gerome Breen

(Methods in molecular biology / John M. Walker, series editor, 628)(Springer protocols)

Humana Press, c2010

  • hbk

Available at  / 1 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

"Your genome is an email attachment" What a difference a few years can make? In 2001, to a global fanfare, the completion of the frst draft sequence of the human genome was announced. This had been a Herculean effort, involving thousands of researchers and millions of dollars. Today, a project to re-sequence 1,000 genomes is well underway, and within a year or two, your own "personal genome" is likely to be available for a few thousand pounds, a price that will undoubtedly decrease further. We are fast approaching the day when your genome will be available as an email attachment (about 4 Mb). The key to this feat is the fact that any two human genomes are more than 99% identical, so rather than representing every base, there is really only a requirement to store the 1% of variable sequence judged against a common reference genome. This brings us directly to the focus of this edition of Methods in Molecular Biology, Genetic Variation. The human genome was once the focus of biology, but now individual genome var- tion is taking the center stage. This new focus on individual variation ultimately democ- tizes biology, offering individuals insight into their own phenotype. But these advances also raise huge concerns of data misuse, misinterpretation, and misunderstanding. The immediacy of individual genomes also serves to highlight our relative ignorance of human genetic variation, underlining the need for more studies of the nature and impact of genetic variation on human phenotypes.

Table of Contents

1. Genetic Variation Analysis for Biomedical Researchers: A Primer Michael R. Barnes 2. Exploring the Landscape of the Genome Michael R. Barnes 3. Asking Complex Questions of the Genome without Programming Peter M. Woollard 4. Laboratory Methods for the Detection of Chromosomal Abnormalities Jacqueline Schoumans and Claudia Ruivenkamp 5. Cancer Genome Analysis Informatics Ian P. Barrett 6. Copy Number Variations in the Human Genome and Strategies for Analysis Emily A. Vucic, Kelsie L. Thu, Ariane C. Williams, Wan L. Lam, and Bradley P. Coe 7. A Short Primer on the Functional Analysis of Copy Number Variation for Biomedical Scientists Michael R. Barnes and Gerome Breen 8. Computational Methods for the Analysis of Primate Mobile Elements Richard Cordaux, Shurjo K. Sen, Miriam K. Konkel, and Mark A. Batzer 9. Laboratory Methods for the Analysis of Primate Mobile Elements David A. Ray, Kyudong Han, Jerilyn A. Walker, and Mark A. Batzer 10. Practical Informatics Approaches to Microsatellite and Variable Number Tandem Repeat Analysis Gerome Breen 11. Assessing the Impact of Genetic Variation on Transcriptional Regulation in vitro Fahad R. Ali, Kate Haddley, and John P. Quinn 12. Whole Genome Sequencing Pauline C. Ng and Ewen F. Kirkness 13. Detection of Mitochondrial DNA Variation in Human Cells Kim J. Krishnan, John K. Blackwood, Amy K. Reeve, Douglass M. Turnbull, and Robert W. Taylor 14. An Introduction to Mitochondrial Informatics Hsueh-Wei Chang, Li-Yeh Chuang, Yu-Huei Cheng, De-Leung Gu, Hurng-Wern Huang, and Cheng-Hong Yang 15. Web-Based Analysis of (Epi-) Genome Data Using EpiGRAPH and Galaxy Christoph Bock, Greg Von Kuster, Konstantin Halachev, JamesTaylor, Anton Nek-rutenko, and Thomas Lengauer 16. Short Tandem Repeats and Genetic Variation Bo Eskerod Madsen, Palle Villesen, and Carsten Wiuf 17. Bioinformatic Tools for Identifying Disease Gene and SNP Candidates Sean D. Mooney, Vidhya G. Krishnan, and Uday S. Evani 18. Analysis of the Impact of Genetic Variation on Human Gene Expression Elin Grundberg, Tony Kwan, and Tomi M. Pastinen 19. Quality Control for Genome-Wide Association Studies Michael E. Weale 20. Gaining a Pathway Insight into Genetic Association Data Inti Pedroso

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Details

  • NCID
    BB04385870
  • ISBN
    • 9781603273664
  • LCCN
    2009943535
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    [Totowa, N.J.]
  • Pages/Volumes
    xi, 388 p.
  • Size
    27 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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