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
Appendix III - A short Perl reference
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
In short, when the genome project was foundering in a sea of incompatible data formats, rapidly changing techniques, and monolithic data-analysis programs, Perl saved the day. Though it's not perfect, Perl seems to meet the needs of the genome centers remarkably well, and is usually the first tool we turn to when we have a problem to solve.
(Lincoln Stein, from ‘How Perl saved the genome project’)The Perl programming language was invented by Larry Wall; his version 1.000 was presented in 1987. Perl is said not to be an acronym, but still you occasionally see it said to represent ‘Practical Extraction and Report Language’ or ‘Pathologically Eclectic Rubbish Lister’. The word ‘Perl’ (with a capital P) refers to the programming language as such, whereas ‘perl’ refers to the interpreter (implementation). Larry Wall originally invented the language to help out in system administration and in the analysis of huge text files, but through the years Perl has been continuously developed and has for many years been widely used in areas such as web programming and bioinformatics.
The information found in this appendix is very far from a complete description of Perl. The focus here is on the features of Perl that are mentioned in this book. There are certain important elements that are left out, such as variable references and object-oriented approaches. For more extensive information the reader is referred to other sources as listed towards the end of this appendix – for example, Perl Programming, for which Larry Wall is one of the coauthors.
- Type
- Chapter
- Information
- Genomics and BioinformaticsAn Introduction to Programming Tools for Life Scientists, pp. 300 - 322Publisher: Cambridge University PressPrint publication year: 2012