A curated index of articles, updates, events, and published work across single-cell research.
Meet Nygen at the Johnson & Johnson R&D Symposium 2026 in Beerse, Belgium, June 18. Parashar Dhapola, CEO, will be on site for conversations on single-cell analytics and virtual biology for drug discovery.
Read more →
Meet Nygen at Drug Discovery Europe 2026 in Berlin, June 15 to 16. Find us in the Data and AI Zone for conversations on single-cell analytics and AI for drug discovery.
Read more →
Nygen is an Agenda Partner at Festival of Genomics Boston 2026. Parashar Dhapola, CEO, presents on druggable cell populations missed by standard annotation on the Single-Cell Stage.
Read more →
Nygen at Keystone Symposia Computational Advances in Drug Discovery in London, May 7 to 10, 2026. Short talk by Parashar Dhapola, CEO, on multi-agent AI for evidence-based cell type annotation.
Read more →
Meet Nygen at the Global Innovation Summit 2026 in Basel on May 6. Constance Beyer, Fractional CBO, will be on site for partnering conversations on single-cell analytics and AI for drug discovery.
Read more →
Meet Nygen at Swiss Biotech Day 2026 in Basel on May 4 and 5. Constance Beyer, Fractional CBO, will be on site for partnering conversations on single-cell analytics and AI for drug discovery.
Read more →
Nygen at the 25th BioPharma Drug Discovery Nexus in Zurich, April 29–30, 2026. Session with Parashar Dhapola on AI agents versus AI workflows for single-cell annotation at scale.
Read more →
Meet Nygen at the QIAGEN Agentic AI and Data Innovation Summit in Basel on April 22, 2026. Constance Beyer, Fractional CBO, will be on site for conversations on AI, knowledge graphs, and single-cell data for drug discovery.
Read more →
Parashar and Dylan discusses where AI truly delivers in biopharma, the persistent gaps in exploratory data analytics, and the critical bottlenecks in single-cell annotation. In a world abounding in AI hype, Parashar helps us cut through the noise and point out paths to data driven success.
Listen →
Why we rebuilt CyteType as a deterministic AI workflow instead of an agent, and why that distinction matters for production cell annotation pipelines.
Read more →
Running CyteType's AI agents across thousands of single-cell RNA-seq datasets in production exposed run-to-run variance, selective evidence gathering, and inconsistent depth. We rebuilt cell type annotation as a deterministic LLM workflow for reproducible, auditable results in drug discovery pipelines.
Read more →
A free, hands-on single-cell RNA-seq course taught live in ScarfWeb. Go from raw count matrices to biologically interpretable results in under 3 hours, with CITE-seq and HTO upload supported where relevant.
View course →
Discover how multi-omics integration is reshaping drug discovery by uncovering disease mechanisms, prioritizing drug targets, and connecting genomics, epigenomics, transcriptomics, proteomics, and metabolomics into a usable biological model.
Read more →
An updated guide to the most useful public single-cell RNA-seq databases in 2026, including archives, atlas portals, and domain-specific resources for data discovery and reuse.
Read more →
Fireside chat with Parashar Dhapola on building Nygen and how CyteType uses multi-agent AI for evidence-grounded cell annotation. Hosted by BIOTECH XYZ.
Read more →