To simplify extraction of a specific data subset from a tranSMART data warehouse for analysis with Python or R, The Hyve developed both a tranSMART Python and a R client.

Data, especially real-world medical data, is eminently sensitive. What would happen if all the GPS tracking data of a research project would become public, along with identifiable information? Can data that has been polluted by a hacker still be[…]

One of the key challenges in cancer research is to find patients that will respond well to targeted drug therapy. Specific mutations in a patient’s tumor can be an indication of the patient’s potential responsiveness to such therapy.

This is an update of a previous blog post which listed four quick and easy tips. We have updated the old tips and added 2 new tips at the end of the post.  Making your data “FAIR” is something you hear more and more. In the age of creating large[…]

Update: Glowing Bear is now publicly available! Read the blog post here.   Why tranSMART needed a new UI tranSMART is a data warehouse which enables sharing, storing and analyzing various types of biomedical data. It was originally developed by[…]

These days, computers need to be able to cope with the vast amounts of data that the Life Science sector is constantly generating. I am not talking about storing the data but about having the ability to perform computationally intensive analysis on[…]

Wearable devices and wearable sensors have recently become very popular, especially in the areas of fitness and sports. An important feature of wearable devices and smartwatches is that they provide a continuous, non-stop recording of your activity[…]

In our recent blogpost we discussed an easy solution to set up a local instance of cBioPortal using Docker. The next step is to load a study into the database. In cBioPortal Datahub, there are plenty of public studies that have staging files[…]

The aim of the third Health-RI (Research Infrastructure) conference, held on 8 December 2017, was to highlight the challenges in bridging the gap between research and medical practice.  Although many challenges still lay ahead, we are delighted to[…]

The easiest way to install and run cBioPortal is by using Docker. Below are the commands needed to easily install and configure all its dependencies and prerequisites.