Molecular Data Analysis Using R
by Csaba Ortutay, Zsuzsanna Ortutay
1st Edition
Publisher: Wiley-Blackwell
Book Details
| Print ISBN | 9781119165026 |
| eText ISBN | 9781119165040 |
| Publisher | Wiley-Blackwell |
| Publishing Year | 2017 |
| Edition | 1st Edition |
| Language | English |
Molecular Data Analysis Using R, 1st Edition, is a textbook that explains how to use R and Bioconductor to examine experimental molecular biology data. The text addresses the challenges wet lab researchers encounter when carrying out statistical evaluations of their laboratory results.
The volume covers the R statistical environment, simple sequence analysis, and gene group annotation. It also introduces genomic applications of next-generation sequencing and transcriptomics methodologies, including quantitative transcriptomics with qRT-PCR.
Derived from two university courses for bioinformatics and experimental biology students, the book connects foundational data operations with advanced biological analyses.
Table of Contents
Chapter 1: Introduction to R statistical environment
Chapter 2: Simple sequence analysis
Chapter 3: Annotating gene groups
Chapter 4: Next-generation sequencing: introduction and genomic applications
Chapter 5: Quantitative transcriptomics: qRT-PCR
Chapter 6: Advanced transcriptomics: gene expression microarrays
Chapter 7: Next-generation sequencing in transcriptomics: RNA-seq experiments
Chapter 8: Deciphering the regulome: from ChIP to ChIP-seq
Chapter 9: Inferring regulatory and other networks from gene expression data
Chapter 10: Analysis of biological networks
Chapter 11: Proteomics: mass spectrometry
Chapter 12: Measuring protein abundance with ELISA
Chapter 13: Flow cytometry: counting and sorting stained cells
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