We would like to share some of the latest developments in PanHunter^® and provide an outlook on some of our key activities. If you would like to receive this update straight to your inbox, please feel free to sign up to our quarterly newsletter. 

The Next Level in High-Resolution Data Analysis

We are thrilled to introduce scExplorer, our cutting-edge application for high-resolution data analysis, seamlessly integrated into the PanHunter^TM ecosystem. As the importance of single-cell, single-nuclei, and spatial transcriptomics data grows in drug research for target identification and validation, these technologies enable researchers to pinpoint molecular targets and understand cell-type-specific gene expression with unprecedented precision and scale. scExplorer is designed to revolutionize your high-resolution transcriptomics research experience.

Comprehensive Support for High-Resolution Methods

scExplorer supports all high-resolution methods, providing a unified platform for single-cell, single-nuclei, and spatial transcriptomics analysis. With scExplorer, our users can perform highly efficient and streamlined quality control, deep data exploration, and advanced analysis to uncover new cell types and disease states. It handles up to 10 million cells with ease. It is built for speed and responsiveness, enabling effortless data exploration. Instantly change color coding, switch between embeddings, or create expression overlays for genes of interest in milliseconds with a few clicks (see Fig 1). This is made possible by building on the CELLxGENE visualization tool including significant enhancements. An updated version of scExplorer with an even cleaner and more intuitive user interface is already under development (see Fig 2).

Diverse and Powerful Analytical Tools

One of the key strengths of scExplorer is its diversity of available tools for data analysis. These tools include the recalculation of new and granular embeddings, automatic clustering, cell type annotations with CellTypist, and effortless identification of trajectories in your data. Additionally, the creation of pseudobulk samples of single-cell or spatial data based on any user annotations smoothly connects scExplorer with the rest of the PanHunter universe. This enables users to create pseudobulk studies, leveraging the full power of PanHunter's downstream analysis tools: Performing customized analyses like gene set enrichment analysis, overlaying pathway images (Pathway mapping) with your data, creating networks (Network visualization), or identifying signatures (Signature Visualization) to pinpoint targets and finding disease patterns.

Complementary Apps

For creating commonly used plots like Dotplots and violin plots, and performing cluster-level comparisons, the scDeepDive app complements scExplorer. This ensures that users have a comprehensive suite of tools at their disposal, enabling them to visualize and interpret their data in multiple ways.

A Comprehensive Platform for Groundbreaking Discoveries

Together, scExplorer and complementary tools like scDeepDive provide a robust and comprehensive platform for high-resolution transcriptomics analysis, ensuring researchers have all the necessary resources to make groundbreaking discoveries.

We are happy to introduce the latest updates to PanHunter. The Changelog with all changes can be found in our Knowledge Center. Here are a few highlights of what’s new in PanHunter v18.

New Guided Onboarding Tour

When starting PanHunter for the first time (and upon request) you will be presented with an easy-to-follow onboarding tour that introduces you to all important features and components of the software. You can – at any point during the tour – pause and restart it whenever you need.

Create Pseudo Bulk Studies From scExplorer

If you are working with single-cell data in scExplorer, it can oftentimes be quite helpful to transform those single-cell datasets into a so-called pseudo-bulk RNA-Seq dataset. Now, this can be easily done directly from scExplorer. Afterwards, you can use all other apps to load and use the freshly created pseudo-bulk study.

Reference and Metadata Update

We’ve updated our reference and meta data, including Wikipathways, MSigDB, Metabolon, ChipAtlas, BioGrid, and GO. New projects will automatically use the new version, for existing projects you would need to request the update as we typically try to keep these unchanged throughout the lifetime of a project.

New Homepage

See how our new digital home is re-shaped under the roof of PanOmics on our new website.

Biotech X 2024 Europe meet us there!

Join our speaker-sessions with Dr. Florian Tegeler and Dr. Erik Schliep at Biotech X from 9 - 10 October in Basel, Switzerland. We're proud to sponsor this event as the place to be for pharmaceutical development and healthcare professionals. We look forward to joining the 3000+ leaders attending Biotech X in Basel this October. We hope to meet you there!

Learn more about speaker sessions.

Evotec & Qiagen Enter Software Collaboration for Enhanced Multi-omics Data Insights

Combining comprehensive data sets with advanced analytics capabilities will enable enhanced multi-omics data insights, better disease understanding and more precise therapeutic interventions.

Learn more about the collaboration.

We regularly send updates via LinkedIn - follow us for more multi-omics insights!