| 书目名称 | Transcriptome Analysis |
| 副标题 | Introduction and Exa |
| 编辑 | Alessandro Cellerino,Michele Sanguanini |
| 视频video | |
| 概述 | Serves as a guide to biological interpretation of complex data.Written with experimental and data-oriented scientists in mind, it presents both the quantitative and qualitative aspects of transcriptom |
| 丛书名称 | Publications of the Scuola Normale Superiore |
| 图书封面 |  |
| 描述 | The goal of this book is to be an accessible guide for undergraduate and graduate students to the new field of data-driven biology. 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. 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..Undergraduate and graduate students in biomedical and quantitative sciences will benefit from this text as well as academics untrained in the subject.. |
| 出版日期 | Textbook 2018 |
| 关键词 | RNA-seq; neurosciences; functional genomics; quantitative biology; network analysis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-88-7642-642-1 |
| isbn_softcover | 978-88-7642-641-4 |
| isbn_ebook | 978-88-7642-642-1Series ISSN 2239-1460 Series E-ISSN 2532-1668 |
| issn_series | 2239-1460 |
| copyright | Scuola Normale Superiore Pisa 2018 |
发表于 2025-3-21 19:59:53
