Introduction to bioinformatics with R : a practical guide for biologists / Edward Curry.
Material type: TextSeries: Chapman & Hall/CRC mathematical and computational biologyPublication details: NW : CRC Press, c2021.Edition: First editionDescription: 1 online resourceISBN:- 9781351015318
- 570.285 23 CUR
- QH324.2
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Sciences | Non-fiction | 570.285 CUR (Browse shelf(Opens below)) | Available | 47295 |
Browsing CUTN Central Library shelves, Shelving location: Sciences, Collection: Non-fiction Close shelf browser (Hides shelf browser)
570.285 CHR Introduction to bioinformatics in microbiology / | 570.285 CON Bioinformatics | 570.285 CON Bioinformatics | 570.285 CUR Introduction to bioinformatics with R : a practical guide for biologists / | 570.285 FRO Role of bioinformatics in agriculture : Tools and applications / | 570.285 GUL Essentials of Bioinformatics | 570.285 HEC The new statistics with R : |
"A Chapman and Hall book."
Includes bibliographical references and index.
Introduction
Introduction to R
An Introduction to LINUX for Biological Research
Statistical Methods for Data Analysis
Analyzing Generic Tabular Numeric Datasets in R
Functional Enrichment Analysis
Integrating Multiple Datasets in R
Analyzing Microarray Data in R
Analyzing DNA Methylation Microarray Data in R
DNA Analysis With Microarrays
Working with Sequencing Data
Genomic Sequence Profiling
ChIP-seq
RNA-seq
Bisulphite Sequencing
Final Notes
"This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. Through the entire book, theoretical explanations are presented alongside step-by-step instructions for carrying out a number of widely-applicable data analysis tasks using freely available software. This book guides the reader through the basic principles of exploratory analysis and hypothesis testing in high-dimensional datasets, and the practicalities of installing statistical computing software and using this to handle different types of data tables"--
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