Isbn: 9781680945225 - essential bioinformatics (21 resultados)

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  • Idioma: Inglés

    Editorial: Arcler Education Inc

    168094522X / 9781680945225

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    Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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    Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle

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    Condición: Used. pp. 287.

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    Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books

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    Condición: Used. pp. 287.

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    Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios

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    Condición: Used. pp. 287.

  • Idioma: Inglés

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    Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections

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  • Idioma: Inglés

    Editorial: Arcler Press 2016-11-30, 2016

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    Librería: Chiron Media, Wallingford, Reino UnidoChiron Media

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    Hardcover. Condición: New.

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    EUR 179,87

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  • Idioma: Inglés

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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    Condición: As New. Unread book in perfect condition.

  • Idioma: Inglés

    Editorial: Arcler Education Inc 0

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: Arcler Education Inc, 2016

    168094522X / 9781680945225

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Arcler Education Inc, 2016

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    Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.

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    Condición: New. 2016. Hardcover. . . . . .

  • Idioma: Inglés

    Editorial: Arcler Education Inc, CA, 2016

    168094522X / 9781680945225

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    Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA

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    Hardback. Condición: New. A flood of data means that many of the challenges in biology are now challenges in computing. Bioinformatics, the application of computational techniques to analyse the information associated with biomolecules on a large-scale, has now firmly established itself as a discipline in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics to gene expression studies. In this text we provide an introduction and overview of the current state of the field. We discuss the main principles that underpin bioinformatics analyses, look at the types of biological information and databases that are commonly used, and finally examine some of the studies that are being conducted, particularly with reference to transcription regulatory systems. The aims of bioinformatics are threefold. First, at its simplest bioinformatics organises data in a way that allows researchers to access existing information and to submit new entries as they are produced, e.g. the Protein Data Bank for 3D macromolecular structures . While data-curation is an essential task, the information stored in these databases is essentially useless until analysed. Thus the purpose of bioinformatics extends much further. The second aim is to develop tools and resources that aid in the analysis of data. For example, having sequenced a particular protein, it is of interest to compare it with previously characterised sequences. This needs more than just a simple text-based search and programs such as FASTA and PSI-BLAST must consider what comprises a biologically significant match. Development of such resources dictates expertise in computational theory as well as a thorough understanding of biology. The third aim is to use these tools to analyse the data and interpret the results in a biologically meaningful manner. Traditionally, biological studies examined individual systems in detail, and frequently compared them with a few that are related. In bioinformatics, we can now conduct global analyses of all the available data with the aim of uncovering common principles that apply across many systems and highlight novel feature.

  • Idioma: Inglés

    Editorial: Arcler Press, 2016

    168094522X / 9781680945225

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    EUR 214,68

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    Hardcover. Condición: Brand New. 287 pages. 10.31x7.36x0.75 inches. In Stock.

  • Idioma: Inglés

    Editorial: Arcler Education Inc

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    Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen

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    Condición: NEW.

  • Idioma: Inglés

    Editorial: Arcler Press, 2016

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 185,66

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    Gebunden. Condición: New. Traditionally biological studies examined individual systems in detail, and compared them with a few that were related. In bioinformatics, we can now conduct global analyses of all the available data with the aim of uncovering common principles that apply a.

  • Idioma: Inglés

    Editorial: Arcler Education Inc

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    Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore

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    Condición: New. 2016. Hardcover. . . . . . Books ship from the US and Ireland.

  • Idioma: Inglés

    Editorial: Arcler Education Inc

    168094522X / 9781680945225

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    Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE

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    Hardback. Condición: New. New copy - Usually dispatched within 3 working days.

  • Idioma: Inglés

    Editorial: Arcler Education Inc, 2016

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Buch. Condición: Neu. Essential Bioinformatics | Ashwani Kumar | Buch | Einband - fest (Hardcover) | Englisch | 2016 | Arcler Education Inc | EAN 9781680945225 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Arcler Education Inc, CA, 2016

    168094522X / 9781680945225

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    Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK

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    EUR 222,72

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    Hardback. Condición: New. A flood of data means that many of the challenges in biology are now challenges in computing. Bioinformatics, the application of computational techniques to analyse the information associated with biomolecules on a large-scale, has now firmly established itself as a discipline in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics to gene expression studies. In this text we provide an introduction and overview of the current state of the field. We discuss the main principles that underpin bioinformatics analyses, look at the types of biological information and databases that are commonly used, and finally examine some of the studies that are being conducted, particularly with reference to transcription regulatory systems. The aims of bioinformatics are threefold. First, at its simplest bioinformatics organises data in a way that allows researchers to access existing information and to submit new entries as they are produced, e.g. the Protein Data Bank for 3D macromolecular structures . While data-curation is an essential task, the information stored in these databases is essentially useless until analysed. Thus the purpose of bioinformatics extends much further. The second aim is to develop tools and resources that aid in the analysis of data. For example, having sequenced a particular protein, it is of interest to compare it with previously characterised sequences. This needs more than just a simple text-based search and programs such as FASTA and PSI-BLAST must consider what comprises a biologically significant match. Development of such resources dictates expertise in computational theory as well as a thorough understanding of biology. The third aim is to use these tools to analyse the data and interpret the results in a biologically meaningful manner. Traditionally, biological studies examined individual systems in detail, and frequently compared them with a few that are related. In bioinformatics, we can now conduct global analyses of all the available data with the aim of uncovering common principles that apply across many systems and highlight novel feature.

  • Idioma: Inglés

    Editorial: Arcler Education Inc Nov 2016, 2016

    168094522X / 9781680945225

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 281,27

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    Buch. Condición: Neu. Neuware - A flood of data means that many of the challenges in biology are now challenges in computing. Bioinformatics, the application of computational techniques to analyse the information associated with biomolecules on a large-scale, has now firmly established itself as a discipline in molecular biology, and encompasses a wide range of subject areas from structural biology, genomics to gene expression studies. In this text we provide an introduction and overview of the current state of the field. We discuss the main principles that underpin bioinformatics analyses, look at the types of biological information and databases that are commonly used, and finally examine some of the studies that are being conducted, particularly with reference to transcription regulatory systems. The aims of bioinformatics are threefold. First, at its simplest bioinformatics organises data in a way that allows researchers to access existing information and to submit new entries as they are produced, e.g. the Protein Data Bank for 3D macromolecular structures . While data-curation is an essential task, the information stored in these databases is essentially useless until analysed. Thus the purpose of bioinformatics extends much further. The second aim is to develop tools and resources that aid in the analysis of data. For example, having sequenced a particular protein, it is of interest to compare it with previously characterised sequences. This needs more than just a simple text-based search and programs such as FASTA and PSI-BLAST must consider what comprises a biologically significant match. Development of such resources dictates expertise in computational theory as well as a thorough understanding of biology. The third aim is to use these tools to analyse the data and interpret the results in a biologically meaningful manner. Traditionally, biological studies examined individual systems in detail, and frequently compared them with a few that are related. In bioinformatics, we can now conduct global analyses of all the available data with the aim of uncovering common principles that apply across many systems and highlight novel feature.