Suppr超能文献

IOAT:用于组学数据和临床数据统计分析的交互式工具。

IOAT: an interactive tool for statistical analysis of omics data and clinical data.

机构信息

Department of Software Engineering, South China University of Technology, Guangzhou, China.

Department of Computer Science and Technology, South China University of Technology, Guangzhou, China.

出版信息

BMC Bioinformatics. 2021 Jun 15;22(1):326. doi: 10.1186/s12859-021-04253-x.

Abstract

BACKGROUND

With the development of high-throughput sequencing technology, a huge amount of multi-omics data has been accumulated. Although there are many software tools for statistical analysis and visual development of omics data, these tools are not suitable for private data and non-technical users. Besides, most of these tools have specialized in only one or perhaps a few data typesare, without combining clinical information. What's more, users could not choose data processing and model selection flexibly when using these tools.

RESULTS

To help non-technical users to understand and analyze private multi-omics data and ensure data security, we developed an interactive desk tool for statistical analysis and visualization of omics and clinical data (shortly IOAT). Our mainly targets csv format data, and combines clinical data with high-dimensional multi-omics data. It also contains various operations, such as data preprocessing, feature selection, risk assessment, clustering, and survival analysis. By using this tool, users can safely and conveniently try a combination of various methods on their private multi-omics data to find a model suitable for their data, conduct risk assessment and determine their cancer subtypes. At the same time, the tool can also provide them with references to genes that are closely related to tumor staging, facilitating the development of precision oncology. We review IOAT's main features and demonstrate its analysis capabilities on a lung from TCGA.

CONCLUSIONS

IOAT is a local desktop tool, which provides a set of multi-omics data integration solutions. It can quickly perform a complete analysis of cancer genome data for subtype discovery and biomarker identification without security issues and writing any code. Thus, our tool can enable cancer biologists and biomedicine researchers to analyze their data more easily and safely. IOAT can be downloaded for free from https://github.com/WlSunshine/IOAT-software .

摘要

背景

随着高通量测序技术的发展,积累了大量的多组学数据。虽然有许多用于统计分析和可视化组学数据的软件工具,但这些工具不适合私人数据和非技术用户。此外,这些工具中的大多数都专门针对一种或几种数据类型,而没有结合临床信息。更重要的是,用户在使用这些工具时不能灵活地选择数据处理和模型选择。

结果

为了帮助非技术用户理解和分析私人多组学数据并确保数据安全,我们开发了一种用于统计分析和可视化组学和临床数据的交互式桌面工具(简称 IOAT)。我们主要针对 csv 格式的数据,将临床数据与高维多组学数据相结合。它还包含各种操作,如数据预处理、特征选择、风险评估、聚类和生存分析。使用此工具,用户可以安全方便地在其私人多组学数据上尝试各种方法的组合,以找到适合其数据的模型,进行风险评估并确定其癌症亚型。同时,该工具还可以为他们提供与肿瘤分期密切相关的基因参考,有助于精准肿瘤学的发展。我们回顾了 IOAT 的主要功能,并在 TCGA 的一个肺肿瘤数据上展示了其分析能力。

结论

IOAT 是一个本地桌面工具,它提供了一套多组学数据集成解决方案。它可以快速对癌症基因组数据进行完整分析,用于发现亚型和鉴定生物标志物,而不会产生安全问题,也无需编写任何代码。因此,我们的工具可以使癌症生物学家和生物医学研究人员更轻松、更安全地分析他们的数据。IOAT 可以从 https://github.com/WlSunshine/IOAT-software 免费下载。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c000/8204560/a2ec5bfc312c/12859_2021_4253_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验