Institute of Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany.
Curr Protoc. 2021 Mar;1(3):e59. doi: 10.1002/cpz1.59.
One main approach to computational analysis of microbiome sequences is to first align against a reference database of annotated protein sequences (NCBI-nr) and then perform taxonomic and functional binning of the sequences based on the resulting alignments. For both short and long reads (or assembled contigs), alignment is performed using DIAMOND, whereas taxonomic and functional binning, followed by inter- active exploration and analysis, is performed using MEGAN. We provide two step-by-step descriptions of this approach: © 2021 The Authors. Basic Protocol 1: Taxonomic and functional analysis of short read microbiome sequences Support Protocol 1: Preprocessing Basic Protocol 2: taxonomic and functional analysis of assembled long read microbiome sequences Support Protocol 2: Taxonomic binning and CheckM.
一种主要的微生物组序列计算分析方法是首先与注释蛋白质序列的参考数据库(NCBI-nr)进行比对,然后根据比对结果对序列进行分类和功能分类。对于短读长和长读长(或组装的连续体),使用 DIAMOND 进行比对,而分类和功能分类,以及随后的交互式探索和分析,则使用 MEGAN 进行。我们提供了这种方法的两个分步说明:© 2021 作者。基本方案 1:短读微生物组序列的分类和功能分析支持方案 1:预处理基本方案 2:组装长读微生物组序列的分类和功能分析支持方案 2:分类分类和 CheckM。