Qlucore
Qlucore is a company dedicated to transforming complexity into clarity through visualization-based analysis of high-dimensional data. Founded in 2007 as a collaborative research project at Lund University, Sweden, it develops fast, interactive software tools for research, diagnostics, and precision medicine, supporting a wide range of omics data types and analysis methods. The company's mission is to accelerate, simplify, and improve research and diagnostics in life sciences and healthcare, with a focus on cancer diagnostics, biomarker discovery, and precision medicine.
Industries
Nr. of Employees
small (1-50)
Qlucore
Ideon Science Park, Scheelevägen 17, 223 70 Lund, Sweden
Products
Visualization-based multi-omics analysis software
A desktop and cloud-capable software package for interactive visualization, statistical analysis and machine-learning based classification of multi-omics and NGS datasets.
Disease-specific classifier models for research and clinical workflows
Pre-built, disease-focused gene-expression classifier models intended for research use and integration into diagnostic workflows for subtype classification and stratification.
Visualization-based multi-omics analysis software
A desktop and cloud-capable software package for interactive visualization, statistical analysis and machine-learning based classification of multi-omics and NGS datasets.
Disease-specific classifier models for research and clinical workflows
Pre-built, disease-focused gene-expression classifier models intended for research use and integration into diagnostic workflows for subtype classification and stratification.
Services
A visualization-first software platform for interactive analysis of multi-omics and NGS data, including statistical tests, plotting, and model-building tools. Available as local installations and cloud-hosted instances.
Cloud hub storage and cloud-based analysis to enable uploading, sharing and running analyses remotely.
Delivery of an IVDR/CE-marked molecular diagnostic test for pediatric acute lymphoblastic leukemia intended for clinical use and subtype classification, including report generation functionality.
Free trial access to the software and advisory contact for selecting appropriate analysis solutions and getting started with data.
A visualization-first software platform for interactive analysis of multi-omics and NGS data, including statistical tests, plotting, and model-building tools. Available as local installations and cloud-hosted instances.
Cloud hub storage and cloud-based analysis to enable uploading, sharing and running analyses remotely.
Delivery of an IVDR/CE-marked molecular diagnostic test for pediatric acute lymphoblastic leukemia intended for clinical use and subtype classification, including report generation functionality.
Free trial access to the software and advisory contact for selecting appropriate analysis solutions and getting started with data.
Expertise Areas
- Multi-omics data analysis and visualization
- Next-generation sequencing (NGS) analysis
- RNA-seq and single-cell RNA-seq analysis
- Biomarker discovery and statistical screening
Key Technologies
- Next-generation sequencing (NGS)
- Genome browser
- DESeq2 and advanced statistical tests
- Dimensionality reduction (PCA, t-SNE, UMAP)
News & Updates
Qlucore introduces the first CE-marked diagnostic test for pediatric leukemia, available for clinical use, providing enhanced accuracy.
Rigshospitalet, Denmark's largest hospital, uses Qlucore Diagnostics BCP-ALL in clinical settings.
Highlighting the importance of transcriptomics in understanding molecular dynamics in cancer research.
Underscoring the role of RNA-seq in modern diagnostics and its potential in clinical settings.
Qlucore introduces the first CE-marked diagnostic test for pediatric leukemia, available for clinical use, providing enhanced accuracy.
Rigshospitalet, Denmark's largest hospital, uses Qlucore Diagnostics BCP-ALL in clinical settings.
Highlighting the importance of transcriptomics in understanding molecular dynamics in cancer research.
Underscoring the role of RNA-seq in modern diagnostics and its potential in clinical settings.