Genotyper 3.2 brings a fresh wave of improvements to your lab workflows. This release adds support for multiplexing, introduces new colored themes to enhance clarity, and delivers better tools for managing reference lines—alongside various upgrades to stability and performance.

As per usual, we're keen on getting your input for our next releases.

Transitioning from legacy tools can be challenging for team members that have been used to specifics for multiple years. With this release, we're introducing 3 themes that allow you to make the switch easier.

Each of the themes has its own distinct character and refer to some of the most used color schematics used.

Genotyper 3.2 introduces support for multiplex experiments across various PHERAstar file types, making it easier to work with multiplex assay data in a streamlined and consistent way.

If you use a different reader or PCR machine and would like to see it supported in Genotyper, don’t hesitate to reach out. We’re happy to explore adding compatibility simply contact us at [email protected].

Genotyper 3.2 adds more flexibility in handling negative process controls, giving you capabilities beyond the current sample name-based functionality. You can now define true NTCs based on fixed well positions on a master plate; other NTCs will not be validated (no analysis warnings generated) and not be added to history.

With the implementation of fixed NTCs, we can now filter out negative process controls that can assume 'any' result (i.e. process controls such as floating empty wells for visual verification of sample plates).

We have expanded support for reference lines as positive controls, making it easier to flag known materials directly from your sample naming conventions. Using regular expressions (regex), you can now define flexible and powerful patterns to automatically detect reference samples (e.g. male/female lines, hybrid checks, or synthetic positive standards).

The new functionality lets you test your pattern live, verify it against real sample IDs, and optionally add a clear description to each reference line. This makes it easier for teams to collaborate and maintain consistency in control tracking across projects and users.

In addition, Genotyper now automatically detects reference lines from your files during analysis, so configuration happens as you work. At the time of authorization, you’ll be prompted to confirm whether you’d like to store the expected results for any detected reference line. If you approve, these will be saved and applied in future analyses.

Users will now see a warning if they attempt to upload the same file more than once. This helps prevent accidental duplicates, protecting your data quality and ensuring results aren’t skewed by repeated entries.

Additionally, to help you identify analyses more easily, Genotyper now uses the top-level directory name when you upload a nested folder structure.

To support better collaboration across teams, Genotyper 3.2 makes assay comments more visible during analysis. Remarks entered by colleagues are now clearly displayed, helping you quickly spot important notes, issues, or context so everyone stays aligned throughout the workflow.

In addition, comments are now included in export files, making them available for parsing in downstream processes.

Genotyper 3.2 speeds up data interpretation by making it easier to navigate between views during analysis. You can now adjust the Graph Axis Behavior directly within the analysis screen—no need to switch between Analysis and Settings. We’ve also added a hotkey (press “f”) to quickly show or hide the history grids, helping you stay focused on the most relevant data without interrupting your workflow.

We’ve introduced several enhancements to the export functionality to streamline integration with downstream processes. Users can now define global export mappings, ensuring consistent formatting across projects—only requiring configuration when exceptions are needed. This simplifies setup and reduces the risk of export mismatches.

To improve traceability, the Universal export format now includes the Genotyper analysis id, reference and name in the exported files. Export settings are also easier to manage and reuse, allowing teams to quickly generate consistent outputs for reporting, archiving, or further analysis.