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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Molecular Data Analysis Using R

Handbook / Manual
By: Csaba Ortutay(Author), Zsuzsanna Ortutay(Author), Mauno Vihinen(Foreword By)
330 pages, b/w illustrations, tables
Publisher: Wiley-Blackwell
Molecular Data Analysis Using R
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  • Molecular Data Analysis Using R ISBN: 9781119165026 Paperback Feb 2017 Usually dispatched within 5 days
    £78.95
    #227668
Price: £78.95
About this book Contents Customer reviews Related titles

About this book

Molecular Data Analysis Using R 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 data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students: "Biological Data Analysis with R" and "High-throughput Data Analysis with R" . The material is divided into chapters based upon the experimental methods used in the labs.

Key features include:
- Broad appeal – the authors target their material to researchers in several levels, ensuring that the basics are always covered.
- First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology.
- Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.

Contents

Foreword, xiii
Preface, xv
Acknowledgements, xix
About the Companion Website, xxi

1 Introduction to R statistical environment, 1
2 Simple sequence analysis, 17
3 Annotating gene groups, 41
4 Next-generation sequencing: introduction and genomic applications, 65
5 Quantitative transcriptomics: qRT-PCR, 99
6 Advanced transcriptomics: gene expression microarrays, 125
7 Next-generation sequencing in transcriptomics: RNA-seq experiments, 145
8 Deciphering the regulome: from ChIP to ChIP-seq, 167
9 Inferring regulatory and other networks from gene expression data, 191
10 Analysis of biological networks, 215
11 Proteomics: mass spectrometry, 245
12 Measuring protein abundance with ELISA, 261
13 Flow cytometry: counting and sorting stained cells, 279

Glossary, 311
Index, 323

Customer Reviews

Handbook / Manual
By: Csaba Ortutay(Author), Zsuzsanna Ortutay(Author), Mauno Vihinen(Foreword By)
330 pages, b/w illustrations, tables
Publisher: Wiley-Blackwell
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