A Primer for Computational Biology Shawn O'Neil
Materialtyp:
TextSerie: Open textbook libraryDistributör: Minneapolis, MN Open Textbook LibraryUtgivningsuppgift: Corvallis, Oregon Oregon State University 2017Datum för upphovsrätt: ©2017Beskrivning: 1 online resourceInnehållstyp: - text
- computer
- online resource
- QH308.2
- QA76
Part I: Introduction to Unix/Linux -- Part II: Programming in Python -- Part III: Programming in R
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.
Attribution-NonCommercial-ShareAlike
In English.
Description based on print resource
Freely available e-book