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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Biologi
    4. Biovetenskap

    Genomics and Bioinformatics

    An Introduction to Programming Tools for Life Scientists

    AvTore Samuelsson

    Inbunden, Engelska, 2012

    1 315 kr

    Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt över 249 kr.

    Fler format och utgåvor

    Häftad

    602 kr

    E-bok

    710 kr

    E-bok

    710 kr

    Beskrivning

    With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for skilled bioinformaticians. Designed for biologists without previous programming experience, this textbook provides a hands-on introduction to Unix, Perl and other tools used in sequence bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through the process from biological problem to computational solution. All of the Perl scripts, sequence and database files used in the book are available for download at the accompanying website, allowing the reader to easily follow each example using their own computer. Programming examples are kept at an introductory level, avoiding complex mathematics that students often find daunting. The book demonstrates that even simple programs can provide powerful solutions to many complex bioinformatics problems.

    Produktinformation

    • Utgivningsdatum:2012-06-07
    • Mått:194 x 253 x 21 mm
    • Vikt:940 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:358
    • Förlag:Cambridge University Press
    • ISBN:9781107008564

    Utforska kategorier

    • Biovetenskap inom Naturvetenskap och teknik
    • Programmeringsböcker inom Data och IT

    Mer om författaren

    Tore Samuelsson is a Professor in Biochemistry and Bioinformatics at the Institute of Biomedicine, University of Gothenburg, Sweden. He has been active in bioinformatics research for more than fifteen years and has over ten years' experience of teaching in the field, including the development of web resources for molecular biology and bioinformatics education.

    Recensioner i media

    'The book provides a lively and accessible introduction to current research in the life sciences, and it does so in a succinct way by grounding the explanations with simple algorithms expressed in Perl code. As such, the book can be very useful to a general science audience, particularly those with a computer science background, whether established researchers or undergraduate students. The writing is inspiring and engaging, and the inclusion of Perl code makes it easy for readers to apply the knowledge and observe the outcomes.' Sara Kalvala, Computing Reviews

    Innehållsförteckning

    • 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 snurps; 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. Short Perl reference; Appendix IV. Brief introduction to R; Index.