Integration and Analysis of Omics Data Using Genome-Scale Metabolic Models.

IF 3.4 3区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Metabolites Pub Date : 2024-11-05 DOI:10.3390/metabo14110595

Miha Moškon, Tadeja Režen

引用次数: 0

Abstract

Constraint-based modelling and genome-scale metabolic models (GEMs) have been used extensively to analyze omics data, providing a mechanistic perspective on complex metabolic systems and networks [...].

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利用基因组尺度代谢模型整合和分析 Omics 数据。

基于约束条件的建模和基因组尺度代谢模型（GEMs）已被广泛用于分析omics数据，为复杂的代谢系统和网络提供了一个机理视角[...]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Metabolites Biochemistry, Genetics and Molecular Biology-Molecular Biology

CiteScore

5.70

自引率

7.30%

发文量

1070

审稿时长

17.17 days

期刊介绍： Metabolites (ISSN 2218-1989) is an international, peer-reviewed open access journal of metabolism and metabolomics. Metabolites publishes original research articles and review articles in all molecular aspects of metabolism relevant to the fields of metabolomics, metabolic biochemistry, computational and systems biology, biotechnology and medicine, with a particular focus on the biological roles of metabolites and small molecule biomarkers. Metabolites encourages scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on article length. Sufficient experimental details must be provided to enable the results to be accurately reproduced. Electronic material representing additional figures, materials and methods explanation, or supporting results and evidence can be submitted with the main manuscript as supplementary material.