Python For Handling 96-Well Plate Data and Automation
There's hardly a life science lab you can walk into these days, without seeing a ton of 96-well plates and instruments that read and handle them. That's why we've dedicated an entire chapter of our forthcoming book Python For The Life Sciences, to the humble 96-well plate. The chapter introduces the use of Python for handling laboratory assay plates of many different sizes and configurations. It shows the reader how to read plate assay data from files formatted as comma-separated values (CSV), how to implement basic row and column computations, how to plot multi-well plates with the wells color-coded by their properties, and even how to implement the high level code necessary for driving instruments and robots through devices like Arduinos.
And this is just one of about 20 chapters designed to introduce the life scientist who wants to learn how to code, to the wonderful and versatile Python programming language.
Almost all of the code and examples in the book are biology-based and in addition to teaching the Python programming language, the book aims to inspire the life scientist reader to bring the power of computation to his or her research, by demonstrating the application of Python using real-world examples from across a wide range of biological research disciplines.
The book includes code and examples covering next-generation sequencing, molecular modeling, biomarkers, systems biology, chemical kinetics, population dynamics, evolution and much more.
Python For The Life Sciences should be available as an eBook this fall (2016), so if you're a life scientist interested in bringing a computational skill set to your research and your career, visit the book's web page and sign up to our (no spam) mailing list for updates about the book's progress and publication.
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