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对基因组生物标志物生物信息学工具的全面审查发现驱动精确瘤学

Alexis J Clark¹, James W Lillard¹

¹Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA.

|August 29, 2024

概括

下一代测序 (NGS) 通过启用详细的癌症基因组学来推动精确瘤学. 生物信息学工具对于分析这些复杂的数据,识别生物标志物和改善患者预后至关重要.

科学领域:

在瘤学瘤学.
基因组学就是基因组学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

高通量技术,特别是下一代测序 (NGS),已经改变了癌症研究.
NGS促进了对遗传变异,基因表达和蛋白质水平的研究,增加了精确瘤学的重要性.
生物标志物识别和验证是现代癌症研究中的关键需求.

研究的目的:

审查生物信息学在癌症基因组学中的作用.
探索瘤学,癌症生物学和生物信息学工具之间的相互作用.
要突出癌症的挑战和方法,需要数据分析.

主要方法:

对生物信息学工具进行数据结构,途径分析,网络分析,生物标记符号分析,体变异解释和可视化的审查.
讨论开源资源,如TCGA,GDC,cBioPortal,UCSC基因组浏览器,数组快递和GEO.
探索统计学学习,实验验证,数据处理和质量控制方面的挑战.

主要成果:

生物信息学在发现新型癌症生物标志物,驱动突变和瘤性途径方面发挥了重要作用.
众多的开源工具和存储库有助于简化对癌症omics数据的分析.
生物信息学的应用有助于识别潜在的治疗点.

结论:

生物信息学对于推进癌症基因组学和精确瘤学的发展至关重要.
整合多学科数据,网络分析和机器学习 (ML) 是未来生物标志物发现和患者预后的关键.
生物信息学工具的持续开发和应用将推动癌症的理解和治疗的进步.

关键词:

在RNA-Seqq.生物信息学是一种生物信息学.生物标志物发现发现瘤学在瘤学方面.预测算法预测算法

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