Pathomx

Pathomx: Interactive Data Visualization and Analysis Software

Pathomx is an interactive data visualization and analysis software for metabolomics, transcriptomics, and other omics data. It allows users to easily visualize, analyze, and share their data without programming.

What is Pathomx?

Pathomx is an open-source software tool designed specifically for the interactive visualization and analysis of metabolomics data, although it also supports other omics data types like transcriptomics. It provides a user-friendly graphical interface that allows researchers to rapidly interrogate their data, identify trends and patterns, perform statistical analyses, and generate publication-ready plots without the need to write any code.

Some key features of Pathomx include:

• Interactive and dynamic data visualization: Easily create common plots like scatter plots, histograms, heat maps, pathway maps.
• Exploratory statistical analysis: Perform common univariate and multivariate statistical tests like t-tests, ANOVA, and PCA.
• Workflow management: Design analysis workflows by connecting various data processing, analysis, and visualization modules.
• Customizable and extensible: Develop custom analysis modules/plugins using Python and the Pathomx API.
• Collaboration: Export attractive visualizations and analysis results that can be easily shared.

By putting intuitive and flexible data visualization and analysis tools in the hands of scientists without requiring programming skills, Pathomx allows researchers to very quickly gain key insights from their metabolomics and other omics datasets. This supports faster experiment iteration, better understanding of biological systems, and more impactful research conclusions.

Pathomx Features

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