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You can import Proteomics data, as an example from LC-MS, using the Qlucore Import Wizard. The tool has support to handle empty cells, prefiltering, transformation (offset data or apply a threshold), log transformation, and to perform Quantile Normalization. You can also select to remove control samples and variables, and to collapse data on both the sample side and the variable side to remove replicates. You can then use the inbuilt statistical tests and plots available in Qlucore Omics Explorer.

Using a 10x Genomics single-cell cancer dataset, we will demonstrate the core capabilities of BBrowserX Pro. The session will cover clustering, cell type prediction, marker gene identification, and differential expression analysis. We will also explore advanced features for investigating cell-to-cell communication and cancer cell prediction, showing how these tools can support deeper biological insights from single-cell datasets.

In this webinar, we will show how Log Points can be used in Qlucore Omics Explorer to save important stages during an analysis. Log Points help you keep track of different analysis steps, return to previous analysis states, and document how your analysis develops. We will demonstrate how to use Log Points to document analysis workflows, compare different approaches, and keep track of important findings.

Free online hands-on training with hands-on exercises. Learn how to easily analyze your experiment data yourself. You will do exercises on data import, visualization of data in PCA plots and Heatmaps, run a statistical test to find discriminating variables, and learn how to explore a dataset to find interesting clusters using UMAP and PCA plots. No previous experience and no programming needed.

Using a 10x Genomics spatial omics cancer dataset, we will explore the functionality of SpatialX, focusing on the integration of H&E images and single-cell expression data. The session will cover cell type prediction, identification of regions of interest such as tumors, analysis of data in the vicinity of these regions, and cell-to-cell communication.