Literature DB >> 33961221

Accurate Annotation of Microbial Metagenomic Genes and Identification of Core Sets.

Chiara Vanni1,2.   

Abstract

In the past decade, metagenomics studies of microbial communities have added billions of sequences to the databases. This extensive amount of data and information has the potential to widen our understanding of the functioning of microbial communities and their roles in the environment. A fundamental step in this process is the functional and taxonomic profiling of the metagenomes, through an accurate gene annotation. This gene-level information can then be placed in the genomic context of metagenome-assembled genomes. Then, on a broader level, we can place this combined data into the context of a pangenome and start characterizing core and accessory gene sets. In this chapter, we provide a workflow to create an annotated gene catalog and to identify core sets of genes in the context of a pangenome. The first section will focus on the methods to provide metagenomic genes with accurate annotations. The second part will describe how to combine the gene catalog information with metagenome-assembled genomes and how to use both to build and investigate a pangenome.

Entities:  

Keywords:  Annotation; Core gene set; Metagenomics

Year:  2021        PMID: 33961221     DOI: 10.1007/978-1-0716-1099-2_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  43 in total

1.  MetaQUAST: evaluation of metagenome assemblies.

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6.  Strains, functions and dynamics in the expanded Human Microbiome Project.

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7.  metaSPAdes: a new versatile metagenomic assembler.

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8.  Clustering huge protein sequence sets in linear time.

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9.  SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

Authors:  Ruibang Luo; Binghang Liu; Yinlong Xie; Zhenyu Li; Weihua Huang; Jianying Yuan; Guangzhu He; Yanxiang Chen; Qi Pan; Yunjie Liu; Jingbo Tang; Gengxiong Wu; Hao Zhang; Yujian Shi; Yong Liu; Chang Yu; Bo Wang; Yao Lu; Changlei Han; David W Cheung; Siu-Ming Yiu; Shaoliang Peng; Zhu Xiaoqian; Guangming Liu; Xiangke Liao; Yingrui Li; Huanming Yang; Jian Wang; Tak-Wah Lam; Jun Wang
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10.  CD-HIT: accelerated for clustering the next-generation sequencing data.

Authors:  Limin Fu; Beifang Niu; Zhengwei Zhu; Sitao Wu; Weizhong Li
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

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