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Molecular data analysis using R / Csaba Ortutay and Zsuzsanna Ortutay.

By: Contributor(s): Material type: TextTextPublication details: New Jersey : Wiley Blackwell, ©2017.Description: xxi, 330 pages : illustrations ; 25 cmISBN:
  • 9781119165026 (pbk.)
Subject(s): DDC classification:
  • 572.33 23 Or78
Contents:
1. Introduction to R statistical environment -- 2. Simple sequence analysis -- 3. Annotating gene groups -- 4. Next-generation sequencing : introduction and genomic applications -- 5. Quantitative transcriptomics : qRT-PCR -- 6. Advanced transcriptomics : gene expression microarrays -- 7. Next-generation sequencing in transcriptomics : RNA-seq experiments -- 8. Deciphering the regulome : from CHIP to CHIP-seq -- 9. Inferring regulatory and other networks from gene expression data -- 10. Analysis of biological networks -- 11. Proteomics : mass spectrometry -- 12. Measuring protein abundance with ELISA -- 13. Flow cytometry : counting and sorting stained cells.
Summary: "This book addresses the difficulties experienced by wet-lab researchers with the statistical analysis of molecular biology-related data. The authors explain how to use R and Bioconductor for the analysis of experimental dat in the field of molecular biology ..."
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 572.33 Or78 (Browse shelf(Opens below)) Available 138006
Total holds: 0

Includes bibliographical references and index.

1. Introduction to R statistical environment --
2. Simple sequence analysis --
3. Annotating gene groups --
4. Next-generation sequencing : introduction and genomic applications --
5. Quantitative transcriptomics : qRT-PCR --
6. Advanced transcriptomics : gene expression microarrays --
7. Next-generation sequencing in transcriptomics : RNA-seq experiments --
8. Deciphering the regulome : from CHIP to CHIP-seq --
9. Inferring regulatory and other networks from gene expression data --
10. Analysis of biological networks --
11. Proteomics : mass spectrometry --
12. Measuring protein abundance with ELISA --
13. Flow cytometry : counting and sorting stained cells.

"This book addresses the difficulties experienced by wet-lab researchers with the statistical analysis of molecular biology-related data. The authors explain how to use R and Bioconductor for the analysis of experimental dat in the field of molecular biology ..."

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