Essential Computing Skills for Biologists

Klappentext This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets. Zusammenfassung Presents the important skills for those who want to do quantitative analysis on biological data! especially for high-throughput omics data. This book covers: essential knowledge and skills necessary to use a Linux computer; write programs in Perl! and the use of BioPerl to write bioinformatics Perl programs; and write programs in R.

Product details

• Authors: Fenglou Mao, Fenglou Mao Mao, Xizeng Mao, Ziling Wang, Ziling (Beijing Jiaotong Univ Wang, Wang Ziling, Yanbin Yin, Lishu Zhang, Lishu (Beijing Jiaotong Univ Zhang, Ziling Wang & Lishu Zhang
• Publisher: Imperial College Press
• Languages: English
• Product format: Hardback
• Released: 31.12.2017
• EAN: 9781848169241
• ISBN: 978-1-84816-924-1
• No. of pages: 304
• Series: Series on Advances in Bioinfor; Series On Advances In Bioinformatics And Computational Biology; Series On Advances In Bioinformatics And Computational Biology; Advances in Bioinformatics and
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; SCIENCE / Life Sciences / General, Informationstechnik (IT), allgemeine Themen, COMPUTERS / General, Life sciences: general issues, Information technology: general issues, Digital and Information technology: general topics, Bioinformatics, Perl, Linux, R