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Algorithms for Next-Generation Sequencing

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Title: Algorithms for Next-Generation Sequencing
Description: Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
Authors: Wing-Kin Sung
Resource Type: eBook.
Subjects: Nucleotide sequence, Bioinformatics, Genetic algorithms
Categories: SCIENCE / Bioinformatics, COMPUTERS / Programming / Algorithms, SCIENCE / Life Sciences / Genetics & Genomics
Database: eBook Collection (EBSCOhost)
FullText Links:
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  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1521284
RelevancyScore: 1077
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1077.00524902344
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  Data: Algorithms for Next-Generation Sequencing
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data?Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Wing-Kin+Sung%22">Wing-Kin Sung</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Nucleotide+sequence%22">Nucleotide sequence</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 570.285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Nucleotide sequence
        Type: general
      – SubjectFull: Bioinformatics
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
    Titles:
      – TitleFull: Algorithms for Next-Generation Sequencing
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Wing-Kin Sung
      – PersonEntity:
          Name:
            NameFull: Wing-Kin Sung
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 24
              M: 05
              Type: profile
              Y: 2017
          Identifiers:
            – Type: isbn-print
              Value: 9781466565500
            – Type: isbn-print
              Value: 9780367657970
            – Type: isbn-print
              Value: 9780367831103
            – Type: isbn-electronic
              Value: 9781466565517
            – Type: isbn-electronic
              Value: 9781498752985
            – Type: isbn-electronic
              Value: 9781315374352
          Titles:
            – TitleFull: Algorithms for Next-Generation Sequencing
              Type: main
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