Descrizione

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.