Easier visualization and analysis of single cell data
Single cell RNA-seq is being used more and more. The amount of data generated from these experiments tends to be large, and data sets with more than 10,000 samples are common.
Qlucore Omics Explorer is designed for easy analysis and visualization of very large data sets. With an ordinary computer you can approach these very large data sets directly and use visualizations such as PCA and t-SNE to gain new insights.
In the latest version of Qlucore Omics Explorer - 3.5(19), we have added enhanced support for large data sets in general and specifically RNA-seq single cell. Data sets are now loaded significantly faster and calculations are further streamlined.
Even for data sets that are very large (>10,000 samples) the program works well using an intelligent switch which adjusts the data display based on the data size. For example, with these very large data sets a PCA plot can be shown instantly. The initial work-flow becomes faster and easier, and tools including variance filtering, variable pre-filtering and subsampling can be applied to reduce noise and remove unwanted variables.
Remember, all the above functionality can be used with any type of data and all existing functionality can be used for single cell RNA-seq data.