4.3.0

Add and Remove Files from an Experiment

A delete button has been added to easily remove files from an experiment derived from a pipeline workflow. This is a key feature, as it allows you to clean up your analyses in case some files should be removed, without affecting the rest of the analysis.

Conversely, it allows you to add new files to analyses that have already been run, without the need to start from scratch – simply add files, and METAflow will automatically process these files through a given workflow; just review results in one job. Done! In case of any inconsistency between files, mismatched parameter names for instance, a warning will pop-up.

You will have the capability to add/remove files to workflows in the next release.

Histogram Shortcut on Graph

When working on a dot plot and you want to turn it into a histogram, you can now simply select “Histogram” on the Y-axis by accessing the drop-down menu.

A Self-Organized Heatmap… or a User-Arranged Heatmap

The cluster heatmap available in the analysis layout now comes self-organized. This means that populations that are more similar to one another will be closer together in the display.

This feature allows you to get an idea of the relationship between clusters and expedite the characterization of each cluster identified by METAflow.

Need to adjust the granularity here or there? The heatmap reorganizes itself dynamically. No need to recompute it! Your copilot is still ON!

We have more for you on the heatmap! You can now rearrange parameters displayed or clusters by drag and drop. Rearrange the heatmap to best suit your needs.

Adjust Granularity in Experiments from a Pipeline

Automated analysis derived from a pipeline is intended to standardize file analysis, making analysis and results as consistent as possible across files and experiments. However, sometimes adjustments need to be made for anomalous or outlier samples. We have updated the flexibility within experiments derived from pipelines to make the necessary adjustments, maximizing oversight.

Dot Plots & Histograms

We have also enabled the ability to create dot plots and histograms from individual samples within the Meta Analysis; previously the Meta Analysis was restricted to summarized data, and dot plots or histograms could only be produced within the Analysis Workflow page. 

Improved Rendering of Overlayed UMAP or tSNE

We improved the rendering of the overlays between a target file and a reference file for dimensionality reduction plots available in the Meta Analysis page. This permits easy identification of differences between control and test samples, or any two samples you wish to compare.