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  • 1
    Online Resource
    Online Resource
    London : IntechOpen
    UID:
    b3kat_BV045263273
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    ISBN: 9781789232691 , 9781838815639
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-78923-268-4
    Language: English
    Subjects: Biology
    RVK:
    Keywords: Bioinformatik ; Genom ; Aufsatzsammlung
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1778537790
    Format: 1 Online-Ressource (188 p.)
    ISBN: 9781789232691 , 9781789232684
    Content: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    IntechOpen | [Place of publication not identified] :IntechOpen,
    UID:
    almafu_9959046622202883
    Format: 1 online resource (188 pages) : , illustrations
    ISBN: 1-83881-563-5 , 1-78923-269-4
    Content: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.
    Note: English
    Additional Edition: ISBN 1-78923-268-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    UID:
    gbv_1877733881
    Format: 1 Online-Ressource (188 p.)
    ISBN: 9781789232691 , 9781789232684 , 9781838815639
    Content: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools
    Note: English
    Language: Undetermined
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    IntechOpen | [Place of publication not identified] :IntechOpen,
    UID:
    almahu_9949607137802882
    Format: 1 online resource (188 pages) : , illustrations
    ISBN: 1-83881-563-5 , 1-78923-269-4
    Content: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.
    Note: English
    Additional Edition: ISBN 1-78923-268-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    IntechOpen | [Place of publication not identified] :IntechOpen,
    UID:
    edoccha_9959046622202883
    Format: 1 online resource (188 pages) : , illustrations
    ISBN: 1-83881-563-5 , 1-78923-269-4
    Content: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.
    Note: English
    Additional Edition: ISBN 1-78923-268-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    IntechOpen | [Place of publication not identified] :IntechOpen,
    UID:
    edocfu_9959046622202883
    Format: 1 online resource (188 pages) : , illustrations
    ISBN: 1-83881-563-5 , 1-78923-269-4
    Content: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.
    Note: English
    Additional Edition: ISBN 1-78923-268-6
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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