Resources

A curated index of articles, updates, events, and published work across single-cell research.

Showing 16–30 of 71

Accelerated Single-Cell Data Analysis | Free Course by Nygen

Accelerated Single-Cell Data Analysis | Free Course by Nygen

A free, hands-on ~3-hour course covering the full single-cell analysis workflow and evidence-grounded AI approaches to cell-type annotation. For core facilities and research groups, online or on-site.

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Multi-Omics Data for Target ID in Drug Discovery

Multi-Omics Data for Target ID in Drug Discovery

How human genetics, single-cell transcriptomics, chromatin accessibility and proteomics combine into causal, cell-resolved target evidence, where integration usually fails, and how to grade the result before a programme is committed.

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Public single-cell RNA-seq databases worth using in 2026

Public single-cell RNA-seq databases worth using in 2026

An updated guide to the most useful public single-cell RNA-seq databases in 2026, including archives, curated discovery portals, and domain-specific atlases for data discovery and reuse.

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Startups & Single Cells: Fireside Chat on CyteType
15:00 CET Online

Startups & Single Cells: Fireside Chat on CyteType

Fireside chat with Parashar Dhapola on building Nygen and how CyteType uses structured AI for evidence-grounded cell annotation. Hosted by BIOTECH XYZ.

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Glasgow Computational Biology Community Event
15:30 GMT University of Glasgow, UK

Glasgow Computational Biology Community Event

Deep learning and agentic AI analysis of single-cell RNAseq data.

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DYRK1A & Striatal Development: A Single-Cell Analysis Journey

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

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: 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 existing annotation methods by 388% over GPTCellType, 268% over CellTypist, and 101% over SingleR in benchmarking.

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CyteType: Structured AI Transforming Single-Cell Annotation
16:00 CET Online

CyteType: Structured AI Transforming Single-Cell Annotation

Explore why LLMs alone fail at cell annotation and how CyteType fixed it.

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Nygen and VLP Therapeutics Win Vinnova Cancer Immunotherapy Grant

Nygen and VLP Therapeutics Win Vinnova Cancer Immunotherapy Grant

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

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
09:00 CET IBCH, Poznan, Poland

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
10:00 CET Online

LMU Klinikum x Nygen - Accelerated Single Cell Data Analysis Course

Accelerated single-cell data analysis course with LMU Klinikum.

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St Andrews x Nygen: Accelerated Single-Cell Analysis Course
14:30 CET University of St. Andrews, UK

St Andrews x Nygen: Accelerated Single-Cell Analysis Course

Hands-on single-cell data analysis course at University of St. Andrews.

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