Suppr超能文献

一堆管道:代谢组学数据分析的生物信息学软件概述。

A pile of pipelines: An overview of the bioinformatics software for metabarcoding data analyses.

机构信息

Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.

Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, Texel, Netherlands.

出版信息

Mol Ecol Resour. 2024 Jul;24(5):e13847. doi: 10.1111/1755-0998.13847. Epub 2023 Aug 7.

Abstract

Environmental DNA (eDNA) metabarcoding has gained growing attention as a strategy for monitoring biodiversity in ecology. However, taxa identifications produced through metabarcoding require sophisticated processing of high-throughput sequencing data from taxonomically informative DNA barcodes. Various sets of universal and taxon-specific primers have been developed, extending the usability of metabarcoding across archaea, bacteria and eukaryotes. Accordingly, a multitude of metabarcoding data analysis tools and pipelines have also been developed. Often, several developed workflows are designed to process the same amplicon sequencing data, making it somewhat puzzling to choose one among the plethora of existing pipelines. However, each pipeline has its own specific philosophy, strengths and limitations, which should be considered depending on the aims of any specific study, as well as the bioinformatics expertise of the user. In this review, we outline the input data requirements, supported operating systems and particular attributes of thirty-two amplicon processing pipelines with the goal of helping users to select a pipeline for their metabarcoding projects.

摘要

环境 DNA(eDNA)宏条形码技术作为一种监测生态学中生物多样性的策略,已经引起了越来越多的关注。然而,通过宏条形码获得的分类鉴定需要对来自具有分类学信息的 DNA 条形码的高通量测序数据进行复杂的处理。已经开发了各种通用和分类特异性引物套件,从而扩展了宏条形码在古菌、细菌和真核生物中的可用性。相应地,还开发了许多宏条形码数据分析工具和管道。通常,几个开发的工作流程旨在处理相同的扩增子测序数据,这使得在众多现有的管道中选择一个有些令人困惑。然而,每个管道都有自己特定的理念、优势和局限性,应该根据任何特定研究的目标以及用户的生物信息学专业知识来考虑。在这篇综述中,我们概述了三十二个扩增子处理管道的输入数据要求、支持的操作系统和特定属性,旨在帮助用户为他们的宏条形码项目选择一个管道。

相似文献

9
Aquatic environmental DNA: A review of the macro-organismal biomonitoring revolution.水生环境DNA:宏观生物监测革命综述
Sci Total Environ. 2023 May 15;873:162322. doi: 10.1016/j.scitotenv.2023.162322. Epub 2023 Feb 18.
10
GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases.GRAPEVNE - 传染病图形分析管道开发环境
Wellcome Open Res. 2025 May 27;10:279. doi: 10.12688/wellcomeopenres.23824.1. eCollection 2025.

引用本文的文献

本文引用的文献

2
VTAM: A robust pipeline for validating metabarcoding data using controls.VTAM:一种使用对照验证宏条形码数据的强大流程。
Comput Struct Biotechnol J. 2023 Jan 27;21:1151-1156. doi: 10.1016/j.csbj.2023.01.034. eCollection 2023.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验