An Introduction to Applied Bioinformatics (or IAB) is a free, open source interactive text that introduces readers to core concepts of bioinformatics in the context of their implementation and application.
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To learn more about who should read IAB or how to read IAB, see Reading IAB.
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For an overview of the content, see the IAB Table of Contents.
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If you're interested in writing or editing content or code for IAB, see CONTRIBUTING.md.
IAB is in early development stage. To see the plans for where the project will go, see the project milestones. A good example of where we're going is the pairwise alignment chapter.
Warning: The code in the iab module is not sufficiently tested, documented, or optimized for production use, but is rather intended for educational use only. As code reaches those quality standards it is ported to scikit-bio. I do not recommend using the code in the iab module outside of the text. In other words, don't import iab outside of the text - if you want access to the functionality in your own code, you should import skbio.
IAB is primarily being developed by Greg Caporaso (GitHub/Twitter: @gregcaporaso) in the Caporaso Lab at Northern Arizona University. You can find information on the courses I teach on my teaching website and information on my research and lab on my lab website.
See the full list of IAB contributors here.
IAB is funded in part by the Alfred P. Sloan Foundation. Initial prototyping was funded in part by Arizona's Technology and Research Initiative Fund.
An Introduction to Applied Bioinformatics by The Caporaso Laboratory is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://github.com/caporaso-lab/An-Introduction-To-Applied-Bioinformatics.
