解放军医学院学报2025，Vol.46Issue(1)：22-27,36,7.DOI:10.12435/j.issn.2095-5227.24072504
生物大数据:现状、挑战与未来发展
Big data in biology:Status quos,challenges,and future development
王霈虹 1何昆仑 1石金龙1
作者信息
- 1. 解放军总医院医学创新研究部,医疗大数据应用技术国家工程研究中心,解放军总医院医学工程实验室,国家药监局人工智能医疗器械研究与评价重点实验室,北京 100853
- 折叠
摘要
Abstract
Big data in biology generally refers to omics data generated by multiple high-throughput screening technologies,encompassing genomics,transcriptomics,proteomics,epigenomics,metabolomics,microbiomics,et al.Essentially,it can be regarded as the digital record of multi-layered biological activities derived from genetic information flow,and the responses of life systems to environmental changes.The explosive growth of omics data can be attributed to the rapid advances and widespread adoption of high-throughput sequencing technologies.Simultaneously,the deep integration and application of techniques from biology,mathematics,and computer science have enhanced the analytical and processing capabilities of biological big data.This integration has brought revolutionary impacts on the exploration,innovation,and clinical applications in modern biomedicine.This article primarily provides a review of the various omics data constituting biological big data and their applications in biomedicine,while also outlining future development directions.关键词
计算生物学/大数据/精准医学/多组学/机器学习Key words
computational biology/big data/precision medicine/multiomics/machine learning分类
医药卫生引用本文复制引用
王霈虹,何昆仑,石金龙..生物大数据:现状、挑战与未来发展[J].解放军医学院学报,2025,46(1):22-27,36,7.
