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Titlebook: Metagenomic Data Analysis; Suparna Mitra Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Sc

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發(fā)表于 2025-3-21 17:22:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Metagenomic Data Analysis
編輯Suparna Mitra
視頻videohttp://file.papertrans.cn/632/631336/631336.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Metagenomic Data Analysis;  Suparna Mitra Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Sc
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 k
出版日期Book 2023
關(guān)鍵詞Sequencing; microbial ecosystem; MinION sequencing; Next-Generation Sequencing; shotgun metagenomics
版次1
doihttps://doi.org/10.1007/978-1-0716-3072-3
isbn_softcover978-1-0716-3074-7
isbn_ebook978-1-0716-3072-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines
The information of publication is updating

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Metagenomic Data Analysis978-1-0716-3072-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
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Methods in Molecular Biologyhttp://image.papertrans.cn/m/image/631336.jpg
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Nanopore Sequencing Techniques: A Comparison of the MinKNOW and the Alignator Sequencers,ll tedious, especially for methodologies producing long reads. Here, we compare the sequence data analysis software MinKNOW and our tool Alignator. Furthermore, we provide a walk-through from RNA isolation and preparation for MinION sequencing as well as insides in the processing of sequencing data using both tools.
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Manipulating and Basic Analysis of Tabular Metagenomics Datasets Using R, variety of versatile tools for working with tabular data that allow for the development of computationally efficient and reproducible workflows. Here we outline the basics of the R programming language and showcase a number of tools for data manipulation and basic analysis of metagenomics datasets.
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