The best way to learn bioinformatics is through examples of real world problems. The Bioinformatics Workbook provides the reader with an in depth understanding of experimental design, data acquisition, data wrangling, data analysis and visualization. This is accomplished through worked out example problem in each of these sections along with one or more advanced problem sets and corresponding solutions. This books assumes that the reader has some knowledge of biology and basic understanding of the Unix command line. However, for the beginner, the appendix contains introductory material and tips/tricks for common bioinformatic problems, that is referred to for more information throughout the book.
Please start your exploration at the index.
Please use 
This project is an Open Source and encourages everyone to be fearless in their contributions. However, we have some ground rules to make this a happy, collaborative place for everyone. Our contribution guidelines are listed here. Please pay attention to the Code of Conduct. Don't hesitate to reach out for us if you need help at gifhelp@iastate.edu or tweet @isugif).
Happy writing!
- Primary support from SCINet project of the United States Department of Agriculture - Agricultural Research Service, (USDA-ARS) project number 0500-00093-001-00-D
- Additional support from National Science Foundation (NSF) IOS#1546858
