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Bioinformatics tools and resources for cancer and application.
Huang, Jin; Mao, Lingzi; Lei, Qian; Guo, An-Yuan.
Afiliação
  • Huang J; Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Mao L; Hubei Bioinformatics & Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Lei Q; Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Guo AY; Department of Thoracic Surgery, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Chin Med J (Engl) ; 137(17): 2052-2064, 2024 Sep 05.
Article em En | MEDLINE | ID: mdl-39075637
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article