Metabolomics

Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data.

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ANALYZE METABOLOMICS DATA

Metabolomics refers to the systematic identification and quantification of the small molecule metabolic products (the metabolome) of a biological system (cell, tissue, organ, biological fluid, or organism) at a specific point in time. Mass spectrometry and NMR spectroscopy are the techniques most often used for metabolome profiling.

Qlucore Omics Explorer lets the researcher freely examine and analyze data from metabolomics experiments. 

Key functionality:

  • Investigate any structure in data using variance filtering combined with PCA.
  • Perform statistical filtering using ANOVA to enhance results.
  • Generate a list of metabolites that classifies data based on a selection of statistical tests: F-test, t-tests or regression. 
  • Export lists for further analysis, such as enrichment and KEGG pathway analysis. 
  • Use hierarchical clustering or PCA to indentify subgroups.
  • Work with Variable PCA plots to find correlation and networks among selected metabolites.

Analyzing metabolomics data

Watch our recorded webinar "Analyzing metabolomics data with Qlucore".

Watch webinar

Does it work on my data?

Answer the four quick questions below and find out if you can use Qlucore on your data. 

For more details about supported data formats and data import see Data Import or Contact us with questions.

Case studies

Analyzing proteomics and transcriptomics data

Study of hundreds of entries about pollutants and nutrients in different fish species, showing how levels are changing over time.

National Institute of Nutrition and Seafood Research (NIFES), Norway

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Analysis of proteomics data using Qlucore

Using proteomics to understand cardiovascular disease

The Center for Interdisciplinary Cardiovascular Sciences, Boston, US

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RNA-seq case study

RNA-Seq analysis using Qlucore

Performing gene expression analysis based on RNA sequencing data, in Dilated Cardiomyopathy studies.

Stanford University, US

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