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

Format:

Book

Author/Creator:

Ortutay, Csaba, 1976- author.

Ortutay, Zsuzsanna, author.

Language:

English

Subjects (All):

Molecular biology--Data processing.

Molecular biology.

Quantitative research.

R (Computer program language).

Physical Description:

xxi, 330 pages : illustrations ; 25 cm

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, 2016.

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 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 laboratories. Key features include the following: 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. Book jacket.

Contents:

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.

Notes:

Includes bibliographical references and index.

ISBN:

9781119165026

1119165024

OCLC:

935193348