Making RNA-seq single cell analysis easier
Qlucore Omics Explorer supports a complete workflow for single cell RNA-seq data, where the UMAP plot is one of the components. Other useful functions are PCA and t-SNE plots, k-means++ clustering and subsampling as well as variable pre-filtering.
Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, biotech, food and plant 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.
Single cell RNA-seq is a technique that is becoming more widely used. The amount of data generated from these experiments tends to be large, and data sets with more than a thousand samples are commonplace. Large data sets and fast analysis are exactly what Qlucore Omics Explorer is designed for. Using an ordinary PC/laptop you can work with these extremely large data sets and use visualizations such as PCA, t-SNE and UMAP to gain new insights.
Other important functionalities are:
- Direct import of 10x data (using Qlucore templates)
- Variable pre-filtering to remove variables with few real measurement points across samples
- Subsampling to reduce the number of samples
- A pre-filter module with extensive options to remove unwanted variables
- k-means++ clustering and ISOMAP
All of the above functionality can be used with any type of data and all existing functionalities can be used for single cell RNA-seq data.
Get tips and tricks on Single cell analysis.
Read more about RNA-seq analysis.
Single cell data analysis with Qlucore
Qlucore Omics Explorer includes a set of features directed specifically towards single-cell RNA-seq analysis.
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