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    Concepts in Bioinformatics and Genomics

    Concepts in Bioinformatics and Genomics by Momand, Jamil; McCurdy, Alison; Heubach, Silvia;

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      • Publisher's listprice GBP 201.99
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        91 198 Ft (86 855 Ft + 5% VAT)
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    91 198 Ft

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    Product details:

    • Publisher OUP USA
    • Date of Publication 7 June 2017

    • ISBN 9780190610548
    • Binding Paperback
    • No. of pages464 pages
    • Size 216x277x20 mm
    • Weight 964 g
    • Language English
    • Illustrations 264
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    Short description:

    Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming while highlighting relevant real-world applications and providing students with the tools to compute and analyze biological data. It presents many thought-provoking exercises to stretch students' imaginations, giving them a deeper understanding of the molecular biology, basic probability, software programs, and program-coding methodology underpinning this exciting field.

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    Long description:

    Concepts in Bioinformatics and Genomics takes a conceptual approach to its subject, balancing biology, mathematics, and programming while highlighting relevant real-world applications and providing students with the tools to compute and analyze biological data. It presents many thought-provoking exercises to stretch students' imaginations, giving them a deeper understanding of the molecular biology, basic probability, software programs, and program-coding methodology underpinning this exciting field.

    It is a real problem that bioinformatics requires aptitude in both biology and computing, yet the textbook market has not fully risen to meet this challenge for the undergraduates. I see this text as helping to bridge this gap. I would consider adopting this text because it is taking the biology-computation balance seriously and using what has become the dominant scripting language for biologists, Python.

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    Table of Contents:

    Preface
    About the Author
    Review of Molecular Biology
    Information organization and sequence databases
    Molecular Evolution
    Substitution matrices
    Pairwise sequence alignment
    Basic Local Alignment Sequence Tool and Multiple Sequence Alignment
    Protein structure prediction
    Phylogenetics
    Genomics
    Transcript and protein expression analysis
    Basic probability
    Advanced probability for bioinformatics applications
    Programming basics and applications to bioinformatics
    Developing a bioinformatics tool
    Glossary
    Index

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