{"title":"Role of bioinformatics databases and tools in radiation biology","authors":"","doi":"10.1016/j.radmp.2024.06.002","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":34051,"journal":{"name":"Radiation Medicine and Protection","volume":"5 3","pages":"Pages 165-169"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666555724000522/pdfft?md5=2d9d5caefb88b1e417f08754cc8b301e&pid=1-s2.0-S2666555724000522-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiation Medicine and Protection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666555724000522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0
Abstract
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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