| 書目名稱 | Primer to Analysis of Genomic Data Using R |
| 編輯 | Cedric Gondro |
| 視頻video | http://file.papertrans.cn/756/755267/755267.mp4 |
| 概述 | Step by step hands-on analyses using the most current high-throughput genomic platforms.Emphasis on how to develop and deploy fully automated analytical solutions from raw data all the way through to |
| 叢書名稱 | Use R! |
| 圖書封面 |  |
| 描述 | .Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. ..The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of |
| 出版日期 | Book 2015 |
| 關(guān)鍵詞 | Analysis of phylogenies; Databases and functional analysis; Gene expression analysis; Genome wide assoc |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-14475-7 |
| isbn_softcover | 978-3-319-14474-0 |
| isbn_ebook | 978-3-319-14475-7Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | Springer International Publishing Switzerland 2015 |
|Archiver|手機(jī)版|小黑屋|
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