Harness the power of deeply-curated scRNA-seq data to accelerate discovery and validation


QIAGEN Digital Insights

Harness the power of deeply-curated scRNA-seq data to accelerate discovery and validation

Discover our new platform for exploring highlycurated single-cell RNA-seq data 

Are you looking for highly curated single-cell (scRNA-seq) data to validate your latest results? Have you ever spent hours or days processing data from a publication only to find your gene of interest isn’t detected?  Maybe you’ve tried a single-cell portal but find it lacks critical metadata? 

Discover our new solution that makes single-cell data analysis easy while delivering deep and novel insights. We’ve extended our valuable QIAGEN OmicSoft DiseaseLand and OncoLand frameworks to enable rapid exploration of single-cell data, creating the new QIAGEN OmicSoft Single Cell Land. Our team of certified curators manually curated hundreds of single-cell projects generating thousands of precisely curated cell clusters. You can access millions of cells that are searchable using any one of our more than 70 metadata attributes. Compare across projects and easily find the data you are looking for. Then, export your findings graphically, tabularly or to an open data standard.  

The new QIAGEN OmicSoft Single Cell Land lets you: 

  • Find data that are relevant to your project with manually curated datasets, including metadata on the project, sample and cell type  
  • Search, explore and compare scRNA-seq data across projects in a consistent, reproducible manner, using gene, tissue, disease, cell-type or any of the other more than 70 curated metadata attributes 
  • Visualize the data to extract key insights: You can discover dimension reduction results via tSNE or UMAP plots, expression distribution plots or violin plots, cell cluster plots, heatmaps and more 
  • Enhance discoveries from thousands of bulk cell experiments 

Learn more about how QIAGEN OmicSoft Single Cell Land can support your research. 

Request a trial to explore how this database of scRNA-seq datasets can dramatically facilitate and accelerate your single-cell genomics research.