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Molecular data analysis using R

  1. Title statementMolecular data analysis using R / Csaba Ortutay, Zsuzsanna Ortutay.
    PublicationHoboken, New Jersey : John Wiley & Sons, 2016.
    Phys.des.1 online resource.
    ISBN9781119165057 (online)
    1119165059 (online)
    9781119165033 (online)
    1119165032 (online)
    1119165040
    9781119165040
    Internal Bibliographies/Indexes NoteIncludes bibliographical references and index.
    ContentsIntroduction to R statistical environment -- Simple sequence analysis -- Annotating gene groups -- Next-generation sequencing : introduction and genomic applications -- Quantitative transcriptomics : qRT-PCR -- Advanced transcriptomics : gene expression microarrays -- Next-generation sequencing in transcriptomics : RNA-seq experiments -- Deciphering the regulome : from CHIP to CHIP-seq -- Inferring regulatory and other networks from gene expression data -- Analysis of biological networks -- Proteomics : mass spectrometry -- Measuring protein abundance with ELISA -- Flow cytometry : counting and sorting stained cells.
    Notes to AvailabilityPřístup pouze pro oprávněné uživatele
    Another responsib. Ortutay, Zsuzsanna,
    Subj. Headings Molecular biology - Data processing. * Quantitative research. * R (Computer program language) * Molecular biology - Data processing. * Quantitative research. * R (Computer program language) * SCIENCE / Life Sciences / Biochemistry
    Form, Genre elektronické knihy electronic books
    CountryNew Jersey
    Languageangličtina
    Document kindElectronic books
    URLPlný text pro studenty a zaměstnance UPOL
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    Introduction to R statistical environment -- Simple sequence analysis -- Annotating gene groups -- Next-generation sequencing : introduction and genomic applications -- Quantitative transcriptomics : qRT-PCR -- Advanced transcriptomics : gene expression microarrays -- Next-generation sequencing in transcriptomics : RNA-seq experiments -- Deciphering the regulome : from CHIP to CHIP-seq -- Inferring regulatory and other networks from gene expression data -- Analysis of biological networks -- Proteomics : mass spectrometry -- Measuring protein abundance with ELISA -- Flow cytometry : counting and sorting stained cells.

Number of the records: 1  

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