Description |
1 online resource |
Note |
Includes index |
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Publication and on-going maintenance of this textbook is possible due to grant support from Oregon State University Ecampus |
Contents |
Part 1. Introduction to Unix/Linux -- Part 2. Programming in Python -- Part 3. Programming in R |
Summary |
A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful "pipe" operator for file and data manipulation. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2 |
Biography |
Shawn T. O'Neil earned a BS in computer science from Northern Michigan University, and later an MS and PhD in the same subject from the University of Notre Dame. His past and current research focuses on bioinformatics. O'Neil has developed and taught several courses in computational biology at both Notre Dame and Oregon State University, where he currently works at the Center for Genome Research and Biocomputing |
Note |
online resource; title from Digital PDF title page, Version 0.1 (OSU Open Textbooks, viewed October 29, 2020) |
Local Note |
Promoted: Local to Global Cooperative Open Textbook Library |
Subject |
Computational biology -- Textbooks.
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Computational biology. (OCoLC)fst00871990
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Genre/Form |
Open educational resources.
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Textbooks. (OCoLC)fst01423863
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Textbooks.
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Open educational resources.
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Added Author |
Oregon State University, issuing body.
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Other Form: |
Print version: O'Neil, Shawn T., 1983- Primer for computational biology. [Corvallis, Oregon], [Oregon State University Press], [2017] 9780870719264 (OCoLC)1022793380 |
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