IGBMC x Nygen - Accelerated Single Cell Data Analysis Course
Accelerated single-cell data analysis course with IGBMC.
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A curated index of articles, updates, events, and published work across single-cell research.
Enriching Insights with Single-cell RNA-seq: Integrating Spatial Data Strategically
Discover how integrating spatial transcriptomics with scRNA-seq data enhances biological insights by mapping gene expression to tissue architecture. Learn key integration methods and real-world applications.
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Spatial Transcriptomics and Single-cell RNA-seq: Complementary Technologies for Next-Generation Biology
Discover how spatial transcriptomics and single-cell RNA-seq complement each other to drive next-generation biological insights. Learn about emerging platforms, multi-omics integration, and how Nygen Analytics empowers researchers to leverage both technologies.
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UCM Madrid x Nygen - Accelerated Single Cell Data Analysis Course
Accelerated single-cell data analysis course with UCM Madrid.
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Punching Above Their Weight: The Hidden Genomics Powerhouse of Spain's Sun-Soaked Coast
In sunny Alicante, two specialists have built an impressive Omics Core Facility that rivals larger institutions. We sat down with Antonio and José to understand their science, approach to experiment design and collaborative methods drives breakthrough research with a lean, efficient operation.
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Nygen Secures ISO 27001 and SOC 2 Certifications
Nygen Analytics, the only single-cell–focused omics data-analytics platform to pair ISO 27001 certification and SOC 2 compliance with full GDPR alignment
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When is Single-cell RNA-seq Enough? Practical Guidance for Choosing Your Analysis Method
Discover when single-cell RNA sequencing is sufficient for your research needs. This guide explains ideal use cases, analysis techniques, and practical implementations for leveraging scRNA-seq data effectively.
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No-Code Workflow for Marker Gene Identification (Step-by-Step) on Nygen
Learn how to identify marker genes in single-cell RNA-seq data without coding using Nygen's intuitive platform. This step-by-step guide covers data upload, quality control, clustering, marker detection, and dynamic analysis with detailed screenshots and expert tips.
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UMH Alicante x Nygen - Accelerated Single Cell Data Analysis Course
Hands-on single-cell data analysis course at UMH Alicante.
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Accelerate Marker Gene Detection in scRNA-seq: A No-Code Approach
Uncover the essentials of marker gene identification in single-cell RNA sequencing. This article covers no-code solutions, methodologies, and case studies across various fields.
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Med Uni Graz x Nygen - Accelerated Single Cell Data Analysis Course
Accelerated single-cell data analysis course with Medical University of Graz.
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Designing Robust Single-Cell RNA-Seq Experiments: A Practical Guide
Learn the essentials of designing robust single-cell RNA-seq experiments with our practical guide for wet-lab scientists. Covers sample preparation, controls, sequencing parameters, and analysis approaches—including how no-code platforms eliminate computational barriers.
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AGI is Far, but ASI is Here
Explore how ASI transforms drug discovery by harnessing domain-specific models and advanced computing tools for faster, smarter biomedical innovation.
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A Practical Guide to Single-Cell RNA-Seq Cluster Annotation
A practical guide to scRNA-seq cluster annotation in 2026, covering marker gene inspection, reference atlas mapping, supervised classification tools, and strategies for resolving ambiguous or disease-associated populations.
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Powerful scRNA-seq Data Analysis Tools in 2025
Uncover the top single-cell RNA sequencing (scRNA-seq) and multi-omics data analytics tools of 2025. This comprehensive guide reviews 8 platforms to facilitate data analysis and reveal cellular insights.
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