Molecular data analysis using R / Csaba Ortutay and Zsuzsanna Ortutay.
Material type:
TextPublication details: New Jersey : Wiley Blackwell, ©2017.Description: xxi, 330 pages : illustrations ; 25 cmISBN: - 9781119165026 (pbk.)
- 572.33 23 Or78
| 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 |
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| 572.33 G977 Biopolymers : | 572.33 In61 Biomolecular structure and interactions | 572.33 In61 Biomolecular structure and interactions | 572.33 Or78 Molecular data analysis using R / | 572.33 W852 Macromolecules | 572.33015118 Sch344 Molecular modeling and simulation | 572.330285 D812 Data mining for bioinformatics / |
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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