生物信息学数据库和工具在辐射生物学中的作用

Q1 Health Professions
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引用次数: 0

摘要

生物信息学已日益成为辐射生物学(又称放射生物学)不可或缺的一部分,通过数据存储、转换、可视化和共享提供了大量支持。本综述旨在通过介绍放射生物学中的关键数据库和分析工具,包括通用生物信息学数据库、放射生物学专用数据库、数据处理工具以及差异表达基因(DEGs)和 LC/MS 分析的统计分析工具,加深对放射生物学中生物信息学应用的理解。本综述还讨论了生物信息学在放射生物学领域的应用,如放射抗性和免疫细胞富集。尽管取得了这些进展,但数据互操作性等挑战依然存在。本文还探讨了解决这些问题的方法和项目,如 GeCo 和 GMQL。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of bioinformatics databases and tools in radiation biology

Bioinformatics has become increasingly integral to radiation biology, also known as radiobiology, providing substantial support through data storage, conversion, visualization, and sharing. This review aims to deepen understanding of bioinformatics application in radiobiology by introducing key databases and analytical tools in radiobiology, including general bioinformatics databases, radiobiology-specific databases, data processing tools, and statistical analysis tools for differentially expressed genes (DEGs) and LC/MS analysis. This review also discusses bioinformatics applications in radiobiological fields, such as radioresistance and immune cell enrichment. Despite these advances, challenges such as data interoperability remain. Methods and projects to address these issues, such as GeCo and GMQL, are also examined.

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来源期刊
Radiation Medicine and Protection
Radiation Medicine and Protection Health Professions-Emergency Medical Services
CiteScore
2.10
自引率
0.00%
发文量
0
审稿时长
103 days
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