Easily explore your data
Your omics data contains a wealth of information. Much more than you initially may think. With our platform you can easily explore and discover such information.
Get insights faster
Be in control of your data. Ask your own questions, get the answers faster and how you want them. The less time you spend on data analysis, the more time you can devote to experimental biology.
Zero coding required
With our tools, big data bioinformatics is just a simple click away. Zero coding required. No need to write pesky R scripts, no more juggling of your data between multiple websites. With the Omics Playground you can quickly create beautiful figures for your presentations.
Offload repetitive tasks
Offload repetitive tasks like data exploration, filtering tables, and creating graphs to biologists thanks to our intuitive interfaces and concentrate on more critical and complex issues.
Standardize analytics workflow and reporting
Using the Playground products, bioinformaticians can standardize analytics workflow and reporting. Minimize coding errors by using our well-tested platforms. Export tables for further analysis if needed. You can tweak between algorithms to optimize your analysis.
Transparent data analysis
Self-service analytics makes the data analysis more transparent: the biologist understands more about what is behind the analysis, the bioinformatician understands more about the biological meaning of the results, creating a mutual learning process.
Reduce overhead costs
A self-service bioinformatics platform reduces overhead costs. Our analytics platforms are in the cloud and thus accessible from anywhere. No need to maintain hardware, install software or update versions. Let us take care of that!
Empower your staff
Democratize data analytics across your institution. Train and empower your staff with improved bioinformatics tools. Promote a culture of data-driven science. Ensure quality reports with reliable data sources and governed data analytics.
Unlock the power of your old data
Your old data still is valuable. Reinvigorate your old data by re-analyzing them with new methods and algorithms and integrate them with your new data.