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Genome-Scale Algorithm Design : Biological Sequence Analysis In The Era Of High-Throughput Sequencing
620.00 EGP

Genome-Scale Algorithm Design : Biological Sequence Analysis In The Era Of High-Throughput Sequencing

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620.00 EGP 

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Category Type
Microbiology
ISBN
9781107078536
Author
Veli Makinen
Publisher
Cambridge
Description:

  • High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of ...

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9781107078536 

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    Specifications

    Category Type
    Microbiology
    ISBN
    9781107078536
    Item EAN
    2724584886581
    People
    Author
    Veli Makinen
    People
    Publisher
    Cambridge
    Category Type
    Microbiology
    ISBN
    9781107078536
    Item EAN
    2724584886581
    People
    Author
    Veli Makinen
    People
    Publisher
    Cambridge
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    • High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that
    • High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows-Wheeler indexes, graph algorithms and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualisations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise formulations, providing graduate students and researchers in bioinformatics and computer science with a powerful toolkit for the emerging applications of high-throughput sequencing.
 

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