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iSODA：用于单组学和多组学实验中综合组学数据分析的综合工具。

iSODA: A Comprehensive Tool for Integrative Omics Data Analysis in Single- and Multi-Omics Experiments.

作者信息

Olivier-Jimenez Damien, Derks Rico J E, Harari Oscar, Cruchaga Carlos, Ali Muhammad, Ori Alessandro, Di Fraia Domenico, Cabukusta Birol, Henrie Andy, Giera Martin, Mohammed Yassene

机构信息

Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333ZA, Netherlands.

Department of Neurology, The Ohio State University, Columbus, Ohio 43210, United States of America.

出版信息

Anal Chem. 2025 Feb 11;97(5):2689-2697. doi: 10.1021/acs.analchem.4c04355. Epub 2025 Jan 31.

DOI:10.1021/acs.analchem.4c04355
PMID:39886798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11822744/
Abstract

Thanks to the plummeting costs of continuously evolving omics analytical platforms, research centers collect multiomics data more routinely. They are, however, confronted with the lack of a versatile software solution to harmoniously analyze single-omics and interpret multiomics data. We have developed iSODA, a web-based application for the analysis of single- and multiomics data. The tool emphasizes intuitive interactive visualizations designed for user-driven data exploration. Researchers can access a variety of functions ranging from simple visualization like volcano plots and PCA to advanced functional analyses like enrichment analysis and lipid saturation analysis. For integrated multiomics, iSODA incorporates multi-omics factor analysis and similarity network fusion. The ability to adapt the data on-the-fly allows for tasks, such as the removal of outlier samples or failed features, imputation, or normalization. All results are presented through interactive plots, the modular design supports extensions, and tooltips and tutorials provide comprehensive guidance for users. iSODA is accessible under http://isoda.online/.

摘要

由于不断发展的组学分析平台成本大幅下降，研究中心更经常地收集多组学数据。然而，他们面临着缺乏一种通用软件解决方案来和谐分析单一组学数据并解释多组学数据的问题。我们开发了iSODA，这是一个用于分析单组学和多组学数据的基于网络的应用程序。该工具强调为用户驱动的数据探索而设计的直观交互式可视化。研究人员可以访问各种功能，从火山图和主成分分析等简单可视化到富集分析和脂质饱和度分析等高级功能分析。对于整合的多组学，iSODA纳入了多组学因子分析和相似性网络融合。即时调整数据的能力允许执行诸如去除异常样本或失败特征、插补或归一化等任务。所有结果都通过交互式图表呈现，模块化设计支持扩展，工具提示和教程为用户提供全面指导。可通过http://isoda.online/访问iSODA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/2df315095059/ac4c04355_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/a3e5d941661c/ac4c04355_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/a6590a74c393/ac4c04355_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/2df315095059/ac4c04355_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/a3e5d941661c/ac4c04355_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/a6590a74c393/ac4c04355_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544c/11822744/2df315095059/ac4c04355_0003.jpg

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