Qlucore Omics Explorer logo
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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 Details

Vendor
Qlucore
Year Launched
2007
Location
Qlucore Ideon Science Park Scheelevägen 17 223 70 Lund SWEDEN
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, German, French, Spanish, Italian, Swedish, Chinese, Japanese, Korean, Russian
Users
Researchers, scientists, bioinformaticians, clinicians, and students working in transcriptomics, proteomics, metabolomics, single-cell studies, and other omics research.
Industries Served
Healthcare, Biotechnology, Pharmaceutical, Academia, Research
Tags
Omics analysis, Multi-omics, NGS analysis, Transcriptomics, Proteomics, Metabolomics, Data visualization, Bioinformatics software, PCA/t-SNE/UMAP, Genome browser, Biomarker discovery, Gene set enrichment, Machine learning classification.

Qlucore Omics Explorer's In-App Market Place

Does Qlucore Omics Explorer have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), DKK (kr), INR (₹), SGD ($), HKD ($), KRW (₩), MXN ($), ZAR (R), BRL (R$).

Pros & Cons

  • 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.
  • 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.

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