食品科学与分析中的多组学数据集成

IF 8.9 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Sara Herráiz-Gil , María del Carmen de Arriba , María J Escámez , Carlos León
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引用次数: 1

摘要

多组学数据的整合可以从整体的角度对复杂基质(如食品、健康和疾病状况)在分子水平上进行综合分析。现代分析技术的使用,提供了大量的数据,已经在食品科学的不同领域,如食品质量,生物活性化合物的作用,或食品与健康之间的关系的研究进展的关键。然而,所有这些数据的整合仍然面临着许多挑战。在这篇综述中,我们提供了一些最新的多组学方法,优点和局限性的关键概述,包括最近在这个食品组学领域发表的最相关的研究信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-omic data integration in food science and analysis

The integration of multi-omics data allows the comprehensive analysis at the molecular level of complex matrixes, such as those from food, or health and disease status, from a holistic point of view. The use of modern analytical techniques that provide massive amounts of data has been key to advance in the study of food science in different fields, such as food quality, the role of bioactive compounds, or the relationships between food and health. However, the integration of all these data still faces many challenges. In this review, we provide an up-to-date critical overview of some of the multi-omic approaches, advantages, and limitations, including information of the most relevant research published lately in this Foodomics field.

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来源期刊
Current Opinion in Food Science
Current Opinion in Food Science Agricultural and Biological Sciences-Food Science
CiteScore
18.40
自引率
4.00%
发文量
157
审稿时长
92 days
期刊介绍: Current Opinion in Food Science specifically provides expert views on current advances in food science in a clear and readable format. It also evaluates the most noteworthy papers from original publications, annotated by experts. Key Features: Expert Views on Current Advances: Clear and readable insights from experts in the field regarding current advances in food science. Evaluation of Noteworthy Papers: Annotated evaluations of the most interesting papers from the extensive array of original publications. Themed Sections: The subject of food science is divided into themed sections, each reviewed once a year.
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