Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools (Paperback)
Vince Buffalo
- 出版商: O'Reilly|英文2書85折
- 出版日期: 2015-08-18
- 定價: $1,950
- 售價: 9.5 折 $1,853
- 貴賓價: 9.0 折 $1,755
- 語言: 英文
- 頁數: 538
- 裝訂: Paperback
- ISBN: 1449367372
- ISBN-13: 9781449367374
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相關分類:
生物資訊 Bioinformatics
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商品描述
This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's a huge gap between knowing a few programming languages and being prepared to analyze large amounts of biological data.
Rather than teach bioinformatics as a set of workflows that are likely to change with this rapidly evolving field, this book demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician.
Rather than teach bioinformatics as a set of workflows that are likely to change with this rapidly evolving field, this book demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician.
- Go from handling small problems with messy scripts to tackling large problems with clever methods and tools
- Focus on high-throughput (or "next generation") sequencing data
- Learn data analysis with modern methods, versus covering older theoretical concepts
- Understand how to choose and implement the best tool for the job
- Delve into methods that lead to easier, more reproducible, and robust bioinformatics analysis
商品描述(中文翻譯)
這本實用的書籍教授科學家將大型序列數據集轉化為可重複和可靠的生物學發現所需的技能。許多生物學家在開始進行生物信息學培訓時,會學習Python和R等腳本語言以及Unix命令行。但是,僅僅了解幾種編程語言與準備好分析大量生物數據之間存在著巨大的差距。
本書不僅僅將生物信息學教授為一套可能隨著這個快速發展領域而變化的工作流程,而是通過數據技能展示生物信息學的實踐。嚴格評估數據質量和工具的有效性是可重複和可靠的生物信息學分析的基礎。通過開源和免費的工具,您將學習不僅如何進行生物信息學,還將學習如何以生物信息學家的方式解決問題。
- 從處理混亂腳本的小問題轉向使用巧妙方法和工具解決大問題
- 專注於高通量(或“下一代”)序列數據
- 學習使用現代方法進行數據分析,而不是涵蓋較舊的理論概念
- 了解如何選擇和實施最佳工具
- 深入研究導致更容易、更可重複和更可靠的生物信息學分析的方法