Metagenomic Data Analysis
暫譯: 宏基因組數據分析
Mitra, Suparna
- 出版商: Humana Press
- 出版日期: 2023-06-01
- 售價: $7,160
- 貴賓價: 9.5 折 $6,802
- 語言: 英文
- 頁數: 441
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1071630741
- ISBN-13: 9781071630747
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相關分類:
Python
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商品描述
This volume describes different sequencing methods, pipelines and tools for metagenome data analyses. Chapters guide readers through quality control of raw sequence data, metagenomics databases for bacterial annotations such Greengenes, SILVA, RDP and GTDB, guide to 16S rRNA microbiome analysis and pipelines such as mothur, DADA2, QIIME2, whole genome shotgun metagenomics data analyses pipeline using MEGAN and DIAMOND, web service such as PATRIC, RDP, mothur, Kaiju, PhyloPythiaS, MG-RAST, WebMGA, MicrobiomeAnalyst, WHAM!, METAGENassist and MGnify: EBI-Metagenomics, MG-RAST Metagenomics Analysis. Then the chapters inform the readers regarding Third-generation sequencing (TGS) approaches as MinION sequencing and teaches use of Ubuntu Linux Virtual Machine configuration, clinical and environmental resistomes, use of FISH techniques and designing FISH probes, protocols for viral metagenomics, and comprehensive guideline for microbiome analysis usingmost used R packages. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.
Authoritative and cutting-edge, Metagenomic Data Analysis: Methods and Protocols aims to be comprehensive guide for researchers to specialize in the metagenomics field.
商品描述(中文翻譯)
本卷描述了不同的測序方法、流程和工具,用於宏基因組數據分析。各章節引導讀者進行原始序列數據的質量控制,介紹用於細菌註釋的宏基因組數據庫,如 Greengenes、SILVA、RDP 和 GTDB,指導 16S rRNA 微生物組分析及其流程,如 mothur、DADA2、QIIME2,使用 MEGAN 和 DIAMOND 的全基因組隨機測序宏基因組數據分析流程,以及 PATRIC、RDP、mothur、Kaiju、PhyloPythiaS、MG-RAST、WebMGA、MicrobiomeAnalyst、WHAM!、METAGENassist 和 MGnify: EBI-Metagenomics、MG-RAST 宏基因組分析等網路服務。接著,各章節向讀者介紹第三代測序 (TGS) 方法,如 MinION 測序,並教授 Ubuntu Linux 虛擬機的配置、臨床和環境抗性組、FISH 技術的使用及 FISH 探針的設計、病毒宏基因組學的協議,以及使用最常用的 R 套件進行微生物組分析的綜合指南。這本書以成功的《分子生物學方法》系列格式撰寫,每章包括主題介紹、所需材料和方法清單、故障排除提示和已知陷阱,以及逐步、可重複的協議。
權威且前沿的《宏基因組數據分析:方法與協議》旨在成為研究人員專注於宏基因組學領域的綜合指南。