肿瘤生物信息学在癌症研究和精准医疗中发挥着重要作用。传统癌症研究的主要焦点是许多基本途径和基因的分子和临床研究。近年来，在高通量技术突破的推动下，大规模癌症组学数​​据迅速积累。如何有效利用和共享这些数据显得尤为重要。为了解决这一关键任务，过去几年已经开发了许多计算工具和数据库。为了帮助研究人员快速学习和理解这些工具的功能，在这篇综述中，我们总结了公开的生物信息学工具和资源，用于泛癌多组学分析、肿瘤发生的调控分析、肿瘤治疗和预后、免疫浸润分析、免疫库分析、癌症驱动基因和驱动突变分析以及癌症单细胞分析，这可能会进一步帮助研究人员找到更适合其研究的工具。版权所有 © 2024 中华医学会，由 Wolters Kluwer, Inc. 制作，CC-BY -NC-ND 许可证。

Tumor bioinformatics plays an important role in cancer research and precision medicine. The primary focus of traditional cancer research has been molecular and clinical studies of a number of fundamental pathways and genes. In recent years, driven by breakthroughs in high-throughput technologies, large-scale cancer omics data have accumulated rapidly. How to effectively utilize and share these data is particularly important. To address this crucial task, many computational tools and databases have been developed over the past few years. To help researchers quickly learn and understand the functions of these tools, in this review, we summarize publicly available bioinformatics tools and resources for pan-cancer multi-omics analysis, regulatory analysis of tumorigenesis, tumor treatment and prognosis, immune infiltration analysis, immune repertoire analysis, cancer driver gene and driver mutation analysis, and cancer single-cell analysis, which may further help researchers find more suitable tools for their research.Copyright © 2024 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license.