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Details
Next-generation sequencing technologies have put genome-scale analysis of gene expression into the standard toolbox of experimental biologists. Yet, biological interpretation of high-dimensional data is made difficult by the lack of a common language between experimental and data scientists. The goal of this book is to be an accessible guide for undergraduate and graduate students to the new field of data-driven biology. By combining theory with practical examples of how specific tools were used to obtain novel insights in biology – particularly in the neurosciences – the book intends to teach students how to design, analyse, and extract biological knowledge from transcriptome sequencing experiments.
Additional Information
Additional Information
Title | Transcriptome Analysis |
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Author (display) | Alessandro Cellerino and Michele Sanguanini |
Editing/translations | No |
ISBN | 978-88-7642-641-4 |
Publishing year | 2018 |
Subject | No |
Buy link | https://www.springer.com/it/book/9788876426414 |
Notes | No |