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April 14, 2018

Try the new release – analyze your own data

We are happy to announce that FASTGenomics has just been updated with a new set of features! Apart from several backend modifications, we improved some of the visualizations on the platform – you can now adapt the point size in the scatter plot on the cluster inference screen, and heatmaps now show a dendrogram both on the cluster- and the gene-axis to indicate correlation patterns.

But most of all, you can now analyze your own data with FASTGenomics. After login, use the Upload button on the project selection page to get to the upload portal. There you can provide your own gene expression table in a simple numeric text file (we provide an example table) of a size of up to 1000 megabytes, and upload it to the platform for analysis. Try it out now!

We received several inquiries regarding the privacy of your data after the upload. So here is the fine print: analysis is completely free, and your data will be kept private and will only be available to your user account – no other user can access your data set. We are working on a feature that allows you to make a data set public in case you wish to do so at a later stage. Apart from running the algorithms required to create the results for your analysis, no data mining will be performed on your data. At no point will any member of FASTGenomics use your private data sets for any commercial purposes, own publications or own research.

However: please note that, right now, we require a manual inspection by a FASTGenomics data analyst (an employee of Comma Soft) before starting the computation after data upload. Please also understand that this might cause a certain delay outside of working hours. This is done to check that the data set meets all parameter requirements of the analysis pipeline and to avoid overloading our current computational resources. The inspection only checks basic properties like size of the data set and use of the correct gene identifiers. We are currently redesigning the way we use our hardware infrastructure and hope to provide a fully automated pipeline with one of the next releases. Should you have any questions regarding the privacy of your data or should you require additional security features, please do not hesitate to get in touch.