Bioinformatics tools and resources for cancer and application

Abstract 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 technol...

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Published in:Chinese medical journal Vol. 137; no. 17; pp. 2052 - 2064
Main Authors: Huang, Jin, Mao, Lingzi, Lei, Qian, Guo, An-Yuan
Format: Journal Article
Language:English
Published: Hagerstown, MD Lippincott Williams & Wilkins 05.09.2024
Lippincott Williams & Wilkins Ovid Technologies
Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China%Hubei Bioinformatics & Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
Wolters Kluwer
Subjects:
Bioinformatics
Computational Biology - methods
Datasets
DNA methylation
Genomics
Health risks
Humans
MicroRNAs
Mutation
Neoplasms - genetics
Review
Tools
Cancer research
Databases
Tumor bioinformatics
ISSN:0366-6999, 2542-5641, 2542-5641
Online Access:Get full text
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Summary:Abstract 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.
Bibliography:Jin Huang and Lingzi Mao contributed equally to this work. Correspondence to: Prof. An-Yuan Guo, Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China E-Mail: guoanyuan@wchscu.cn; Dr. Qian Lei, Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China E-Mail: leiqianlq@163.com How to cite this article: Huang J, Mao LZ, Lei Q, Guo AY. Bioinformatics tools and resources for cancer and application. Chin Med J 2024;137:2052–2064. doi: 10.1097/CM9.0000000000003254
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ISSN:0366-6999
2542-5641
2542-5641
DOI:10.1097/CM9.0000000000003254