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AGAMEMNON:一个准确的宏基因组学和代谢组学定量分析套件。

AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite.

机构信息

Department of Electrical & Computer Engineering, University of Thessaly, 38221, Volos, Greece.

Hellenic Pasteur Institute, 11521, Athens, Greece.

出版信息

Genome Biol. 2022 Jan 31;23(1):39. doi: 10.1186/s13059-022-02610-4.

Abstract

We introduce AGAMEMNON ( https://github.com/ivlachos/agamemnon ) for the acquisition of microbial abundances from shotgun metagenomics and metatranscriptomic samples, single-microbe sequencing experiments, or sequenced host samples. AGAMEMNON delivers accurate abundances at genus, species, and strain resolution. It incorporates a time and space-efficient indexing scheme for fast pattern matching, enabling indexing and analysis of vast datasets with widely available computational resources. Host-specific modules provide exceptional accuracy for microbial abundance quantification from tissue RNA/DNA sequencing, enabling the expansion of experiments lacking metagenomic/metatranscriptomic analyses. AGAMEMNON provides an R-Shiny application, permitting performance of investigations and visualizations from a graphics interface.

摘要

我们引入了 AGAMEMNON(https://github.com/ivlachos/agamemnon),用于从鸟枪法宏基因组和宏转录组样本、单微生物测序实验或测序宿主样本中获取微生物丰度。AGAMEMNON 以属、种和菌株分辨率提供准确的丰度。它采用了一种时间和空间高效的索引方案,用于快速模式匹配,使具有广泛可用计算资源的大型数据集能够进行索引和分析。宿主特异性模块为从组织 RNA/DNA 测序中定量微生物丰度提供了出色的准确性,从而能够扩展缺乏宏基因组/宏转录组分析的实验。AGAMEMNON 提供了一个 R-Shiny 应用程序,允许通过图形界面进行调查和可视化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14dc/8802518/d942aff6ae9c/13059_2022_2610_Fig1_HTML.jpg

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