Introduction to Bioinformatics With R - A Practical Guide for Biologists

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions using publicly available molecular biology datasets.

List of contents

1, Introduction 2. Introduction to R 3. An Introduction to LINUX for Biological Research 4. Statistical Methods for Data Analysis 5. Analyzing Generic Tabular Numeric Datasets in R 6. Functional Enrichment Analysis 7. Integrating Multiple Datasets in R 8. Analyzing Microarray Data in R 9. Analyzing DNA Methylation Microarray Data in R 10. DNA Analysis With Microarrays 11. Working with Sequencing Data 12. Genomic Sequence Profiling 13. ChIP-seq 14. RNA-seq 15. Bisulphite Sequencing 16. Final Notes

About the author

Ed Curry initially studied computer science (Cambridge) and AI with a systems biology specialism (Edinburgh) before embarking on a PhD in computer-based molecular biology, studying stem cell differentiation at the Centre for Regenerative Medicine in Edinburgh. He spent 10 years in the Faculty of Medicine at Imperial College London, during which time he established a research group focusing on interactions between the genetic, epigenetic and transcriptional state of cancer cells during carcinogenesis and the acquisition of drug resistance. He has extensive teaching experience as a lecturer, examiner and course director, including co-founding Imperial College's Cancer Informatics MRes program and the Genetics & Genomics module for the BSc in Medical Biosciences. He joined GSK R&D in October 2019, remaining an honorary lecturer at Imperial College.

Summary

This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions using publicly available molecular biology datasets.

Product details

• Authors: Edward Curry, Curry Edward
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 03.11.2020
• EAN: 9781138495715
• ISBN: 978-1-138-49571-5
• No. of pages: 310
• Series: Chapman & Hall/CRC Computational Biology Series
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Epidemiology & medical statistics, REFERENCE / General, MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, molecular biology, Cellular biology (cytology), Probability & statistics, Mathematical & statistical software, Genetics (non-medical), Probability and statistics, Epidemiology and Medical statistics, Mathematical and statistical software