Glasgow Computational Biology Community Event
Deep learning and agentic AI analysis of single-cell RNAseq data.
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A curated index of articles, updates, events, and published work across single-cell research.
DYRK1A & Striatal Development: A Single-Cell Analysis Journey
Veronique Brault uses single-cell RNA-seq to study how DYRK1A gene dosage affects striatal development in Down syndrome and intellectual disability mouse models.
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Insights from single-cell omics: cellular heterogeneity as a foundation of clinical outcome in chronic myeloid leukemia
Ram Krishna Thakur, Göran Karlsson explore how single-cell omics reveals cellular heterogeneity driving clinical outcomes in CML.
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CyteType: Evidence-Based Cell Annotation with Multi-Agent AI
CyteType uses a five-agent AI framework for accurate cell type annotation in scRNA-seq data. Outperforms reference-based methods by 300%+ in benchmarking.
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CyteType: Multi-Agent AI Transforming Single-Cell Annotation
Explore why LLMs alone fail at cell annotation and how CyteType fixed it.
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VLP Therapeutics Teams with Swedish AI Biotech Nygen Analytics on Vinnova-Funded Cancer Immunotherapy Research
Nygen Analytics wins 1M SEK Vinnova grant to develop AI-powered predictive models for cancer immunotherapy with VLP Therapeutics, advancing personalized treatment selection.
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The Laboratory Advancing Polish Science One Cell at a Time
Inside the Institute of Bioorganic Chemistry Polish Academy of Sciences, a state-of-the-art laboratory charts an ambitious course for single-cell analysis in Poland.
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IBCH Poznan x Nygen - Accelerated Single Cell Data Analysis Course
Hands-on single-cell RNA-Seq and multi-omics analysis course at IBCH Poznan.
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LMU Klinikum x Nygen - Accelerated Single Cell Data Analysis Course
Accelerated single-cell data analysis course with LMU Klinikum.
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University of St. Andrews x Nygen - Accelerated Single Cell Data Analysis Course
Hands-on single-cell data analysis course at University of St. Andrews.
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SCOP King's College x Nygen - Accelerated Single Cell Data Analysis Course
Hands-on single-cell data analysis course at King's College London.
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Why We Built AI Agents That Actually Understand Single Cell Data
CyteType is multi-agentic annotation system designed for single-cell RNA-seq cluster annotation. Designed to deploy three specialized AI agents to provide accurate cell type identification, literature validation, and pathway-level reasoning beyond traditional marker-based methods and beyond. Built for researchers seeking precise, evidence-backed single-cell data analysis with comprehensive biological context.
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Pioneering Partnership: King's College London's SCOP is Redefining Collaborative Science
An year-old facility is quietly revolutionizing how core services support cutting-edge research. Through a partnership built on scientific curiosity and shared problem-solving,
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Max-Planck-Institut x Nygen - Accelerated Single Cell Data Analysis Course
Accelerated single-cell data analysis course with Max-Planck-Institut.
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