Combine any number of plots to study your protein array data in the easiest way. Visualize connections and experience instant feedback.
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.
PROTEIN ARRAY ANALYSIS
Protein arrays are established as a powerful means to detect proteins and monitor their expression levels. Protein arrays have become one of the most active areas emerging in biotechnology. The objective behind protein array development is to achieve efficient and sensitive high throughput protein analysis.
With Qlucore Omics Explorer, the researcher can examine and analyze data from protein array experiments.
- Investigate any structures in the data by using variance filtering combined with Principal Component Analysis (PCA) and hierarchical clustering.
- Perform statistical tests using ANOVA to enhance results.
- Generate a list of proteins that classifies data based on a selection of statistical tests: F-test, t-tests or regression.
- Work with Variable PCA plots to find correlation and networks among selected proteins.
Qlucore analysis of transcriptomic data
The study includes working with data from more than 400 arrays. Visualization is used in the effort to understand the human growth process.
University of Manchester, UKRead more
Interpreting Leukemia proteomics with Qlucore
In this case study Qlucore Omics Explorer is used to generate new ideas and hypotheses through exploration and analysis of proteomics data.
UT MD Anderson Cancer Center in Houston, Texas, USRead more
Analysis of proteomics data using Qlucore
Using proteomics to understand cardiovascular disease
The Center for Interdisciplinary Cardiovascular Sciences, Boston, USRead more
RNA-Seq analysis using Qlucore
Performing gene expression analysis based on RNA sequencing data, in Dilated Cardiomyopathy studies.
Stanford University, USRead more