The launch of oloMAP Portal, our bioinformatics platform, marked an important milestone for oloBion, making the analysis and interpretation of metabolomics, lipidomics and proteomics data more accessible for researchers. The platform was developed to address the complexity and volume of data generated by mass spectrometry-based omics workflows, supporting biological interpretation by integrating statistical analysis with data visualization.
Following its launch, oloMAP Portal has continued to evolve through major updates focused on performance, usability, and expanded analytical capabilities. During 2025, the platform has been further expanded with new modules designed to broaden its functionality and support additional research needs. Below is a summary of the modules introduced throughout the year.
Pathway Analysis and Advanced Statistics
In February 2025, we extended the functionalities of Pathway Analysis for metabolomics and Advanced Statistics for multi-factor study designs. On the one hand, the scope of Pathway Analysis was expanded to support a wider range of organisms, including all those available in Reactome, MetaCyc, and PlantCyc. While previous versions already supported humans, mice, and plants, this update added further species from Reactome, such as rats, zebrafish, and fruit flies, as well as additional species from MetaCyc. This update expanded organism coverage to enable pathway analysis across a broader set of species.
On the other hand, we incorporated Repeated Measures ANOVA and Mixed ANOVA into Advanced Statistics, providing additional statistical approaches for the interpretation of complex study designs and supporting more versatile data analysis.
Intra-omics Correlations, Group Swapping and p-Value Correction
In June 2025, we extended the functionalities of the Correlation Module and introduced Group Swapping and p-Value Correction. Within the Correlation Module, three enhancements were added to support richer and more flexible data exploration. First, the correlation scope was expanded to cover both intra-omics relationships among detected analytes and inter-data correlations with external sample information. Second, the exploration of associations between analytes at the class level, in addition to the individual level, was incorporated to provide broader biological insights. Third, Spearman’s correlation was added as a non-parametric alternative to Pearson’s correlation, expanding the available options for analysing relationships within the data.
Group Swapping was introduced as a new feature to enable more flexible comparisons and data exploration. It allows users to swap group with subgroup, using the subgroup as the main group and the original group as the subgroup.
p-Value Correction, also known as multiple testing correction, is a statistical procedure used to control the false positive rate (Type I error) when performing multiple hypothesis tests. Bonferroni correction, Holm-Bonferroni method and Benjamin/Hochberg FDR were the three approaches added to the platform to reduce this inflated error rate.
Data Processing and Figure Editing
In January 2026, we released expanded settings for data processing and figure editing, developed during the second half of 2025. For data processing, we added a Settings page alongside the existing Settings dialog and implemented four methods to support more flexible and efficient data handling. First, Custom Study Design was introduced to provide greater flexibility in study design. This powerful tool allows users to customize their study design by uploading new columns of interest (e.g., treatment or phenotype) and assigning them as group or subgroup. Second, Analytes Exclusion was added to enable the removal of analytes not relevant to the study from the statistical analysis. Third, the Low Abundance Filter was implemented to support the exclusion of analytes whose mean abundance is below a specified threshold. Finally, Data Transformation for statistical calculations was expanded to include square root and cube root transformations, in addition to log10.
For figure editing, we added a Figure Settings dialog to support figure customization for presentations and publications. This new tool allows users to adjust the axes and label font sizes, define custom colour palettes for study groups, and specify the dimensions of the figures to be downloaded.
The major updates released throughout 2025 reinforced oloMAP Portal as a structured environment for multi-omics data analysis, visualization, and interpretation. We will continue developing the platform with additional analytical features and usability improvements to support efficient data exploration and interpretation workflows.
Would you like to see the platform in action or discuss how it can support your next study?
Contact us to request a guided demo and discuss your study requirements. If you already have access, we hope that you are enjoying our platform and that it is helping you turn your omics data into biological insights.