Qlucore Omics Explorer logo

Qlucore Omics Explorer

by Qlucore · Since 2007
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ActiveAvailable globallyCloud
Quick facts
VendorQlucore
Year launched2007
StatusActive
LocationQlucore Ideon Science Park Scheelevägen 17 223 70 Lund SWEDEN
Countries servedGlobal
Languages10
Integrations
Free tier
Free trialYES
Contact salesYES

About Qlucore Omics Explorer

Qlucore Omics Explorer is a data analysis software from Qlucore that provides flexible and easy-to-use visualization of large datasets for fast analysis. It combines capable graphical representations, statistical tools, and interactive data exploration so users can derive insights from complex experiment data quickly. This platform is designed for biologists and researchers with varying levels of expertise, allowing them to visualize and analyze genomic data without requiring extensive programming knowledge. Key capabilities: flexible visualization interactive data exploration statistical analysis user-friendly interface comprehensive support resources Best for: researchers and biologists that need to analyze and visualize large-scale experimental data efficiently.

Qlucore Omics Explorer is a versatile and user-friendly bioinformatics platform designed to empower researchers to analyze and visualize complex multi-omics and next-generation sequencing datasets without requiring advanced programming skills. Its core strength lies in its ability to transform high-dimensional data—such as transcriptomics, proteomics, metabolomics, DNA methylation, and single-cell RNA-seq—into interactive and easily interpretable visualizations, including PCA, t-SNE, UMAP, heatmaps, volcano plots, and clustering dendrograms, enabling rapid identification of patterns, outliers, and group separations. The platform combines intuitive drag-and-drop functionality with a robust statistical backbone, supporting t-tests, ANOVA, regression, non-parametric tests, and advanced analyses such as DESeq2 for count data, hierarchical and k-means clustering, and machine-learning classifiers like SVM, Random Forest, and kNN for predictive modeling. For NGS-focused labs, the optional module extends functionality with a dynamic genome browser, variant calling, ChIP-seq and ATAC-seq peak analysis, and fusion-gene detection, bridging the gap from raw sequencing data to actionable insights. Data import from standard formats is straightforward, and the software handles very large datasets efficiently on standard PCs or Macs.

Pros & Cons

What users like
  • +User-friendly GUI for researchers without programming experience.
  • +Combines statistics, machine learning, and visualization for deep data exploration.
  • +Supports a wide range of omics data and NGS outputs.
  • +Real-time updates allow efficient workflow and rapid hypothesis testing.
  • +Built-in functional and pathway analysis aids biological interpretation.
What users flag
  • Requires preprocessed data; does not perform raw data alignment or QC.
  • Highly customized statistical workflows may require external tools or scripting.
  • Learning curve for new users due to breadth of options.
  • Upstream NGS data processing still needed for large sequencing projects.
  • Licensing and module configuration may be costly for small labs.

Features

Key features

Multi-omics data support; handles RNA-seq, microarrays, proteomics, metabolomics, DNA methylation, single-cell RNA-seq, and flow cytometry.
Interactive visualization (2D & 3D); supports PCA, t-SNE, UMAP, heatmaps, scatter, box, bar, and volcano plots with instant updates.
Built-in statistical analysis; includes tests for count and continuous data, fold-change filtering, and batch-effect adjustment.
NGS and genome-centric workflows; variant calling, fusion detection, ChIP/ATAC-seq peak analysis, genome-browser visualization.
Gene set enrichment & pathway analysis; integrates functional analyses for biological interpretation.
Machine learning & classification tools; build classifiers such as SVM, Random Forest, or kNN for sample or cell classification.
Flexible data import & normalization; supports various formats with preprocessing built in.
Real-time interactive workflow; updates plots and analyses instantly, even for large datasets.

Additional features

Omics data compatibility; RNA-seq, single-cell RNA-seq, proteomics, metabolomics, DNA methylation, flow cytometry.
2D/3D visualization library; PCA, t-SNE, UMAP, heatmaps, volcano, scatter/box/line/bar, clustering dendrograms.
Statistical framework; DESeq2, t-tests, ANOVA, regressions, non-parametric tests.
Clustering and unsupervised analysis; hierarchical clustering, k-means, dimension reduction, outlier detection.
Genome-centric NGS analysis; variant calling, fusion detection, peak analysis, genome-browser visualization.
Functional & pathway analysis; gene-set enrichment, pathway and ontology context.
Classifier & predictive modeling; SVM, Random Forest, kNN for sample/cell classification.
Flexible import & normalization; supports diverse formats, normalizes data from multiple omics platforms.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
10
Interface languages
18
Billing currencies

Interface languages

EnglishGermanFrenchSpanishItalianSwedishChineseJapaneseKoreanRussian

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇳🇴NOK🇩🇰DKK🇮🇳INR🇸🇬SGD🇭🇰HKD🇰🇷KRW🇲🇽MXN🇿🇦ZAR🇧🇷BRL

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