Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- Design and conventions of this book
- 1 Introduction: working with the molecules of life in the computer
- 2 Gene technology: cutting DNA
- 3 Gene technology: knocking genes down
- 4 Gene technology: amplifying DNA
- 5 Human disease: when DNA sequences are toxic
- 6 Human disease: iron imbalance and the iron responsive element
- 7 Human disease: cancer as a result of aberrant proteins
- 8 Evolution: what makes us human?
- 9 Evolution: resolving a criminal case
- 10 Evolution: the sad case of the Tasmanian tiger
- 11 A function to every gene: termites, metagenomics and learning about the function of a sequence
- 12 A function to every gene: royal blood and order in the sequence universe
- 13 A function to every gene: a slimy molecule
- 14 Information resources: learning about flu viruses
- 15 Finding genes: going ashore at CpG islands
- 16 Finding genes: in the world of snurpsp
- 17 Finding genes: hunting for the distant RNA relatives
- 18 Personal genomes: the differences between you and me
- 19 Personal genomes: what’s in my genome?
- 20 Personal genomes: details of family genetics
- Appendix I Brief Unix reference
- Appendix II A selection of biological sequence analysis software
- Appendix III A short Perl reference
- Appendix IV A brief introduction to R
- Index
- References
18 - Personal genomes: the differences between you and me
Published online by Cambridge University Press: 05 August 2012
- Frontmatter
- Contents
- Preface
- Acknowledgements
- Design and conventions of this book
- 1 Introduction: working with the molecules of life in the computer
- 2 Gene technology: cutting DNA
- 3 Gene technology: knocking genes down
- 4 Gene technology: amplifying DNA
- 5 Human disease: when DNA sequences are toxic
- 6 Human disease: iron imbalance and the iron responsive element
- 7 Human disease: cancer as a result of aberrant proteins
- 8 Evolution: what makes us human?
- 9 Evolution: resolving a criminal case
- 10 Evolution: the sad case of the Tasmanian tiger
- 11 A function to every gene: termites, metagenomics and learning about the function of a sequence
- 12 A function to every gene: royal blood and order in the sequence universe
- 13 A function to every gene: a slimy molecule
- 14 Information resources: learning about flu viruses
- 15 Finding genes: going ashore at CpG islands
- 16 Finding genes: in the world of snurpsp
- 17 Finding genes: hunting for the distant RNA relatives
- 18 Personal genomes: the differences between you and me
- 19 Personal genomes: what’s in my genome?
- 20 Personal genomes: details of family genetics
- Appendix I Brief Unix reference
- Appendix II A selection of biological sequence analysis software
- Appendix III A short Perl reference
- Appendix IV A brief introduction to R
- Index
- References
Summary
The genome revolution is only just beginning.
(J. Craig Venter, 2010)Personal genomes
The first versions of the human genome sequence were presented in 2001 (Lander et al., 2001; Venter et al., 2001). They resulted from projects highly demanding in terms of resources and financing. The publicly funded sequencing project was supported by a $3 billion grant allocated to the Human Genome Project, and Craig Venter's project is reported to have cost $300 million. Since 2001, however, DNA sequencing technology has been made much more effective (Metzker, 2010) and the cost of sequencing a human genome has dropped dramatically. Now, in 2012, it is less than $5000 and is expected to become even less expensive. Furthermore, a human genome is now being sequenced in less than one week. Current DNA sequencing machines are able to produce gigabytes of data every day, and large sequencing centres are able to produce data at an unprecedented rate. For instance, the Beijing Genomics Institute (BGI) in Hong Kong is reported to have, as of December 2010, a total sequencing capacity of an astounding five terabases (5 × 1012, equivalent to 1000 human genomes) per day.
- Type
- Chapter
- Information
- Genomics and BioinformaticsAn Introduction to Programming Tools for Life Scientists, pp. 241 - 251Publisher: Cambridge University PressPrint publication year: 2012