Which tools support FAIR research data management in an academic hospital setting combining both clinical and omic data sources.
Due to the recent developments surrounding FAIR data, we have decided to research how we can make our own open source tools FAIR.
At the tranSMART Foundation Annual Meeting in La Jolla, CA, we presented the new User Interface for tranSMART that The Hyve is developing as part of IMI Translocation under the working name Glowing Bear.
The Hyve has been selected by the tranSMART Pro Alliance for the execution of the tranSMART 17.1 development project, a major investment in the platform that will bring crucial data modelling features and important code improvements.
17-19 October the Netherlands Cancer Institute hosted the 2015 tranSMART Foundation Annual Meeting. With three days of talks, trainings, discussions, poster sessions and over 160 attendees this year’s meeting has been the largest meeting up until now. Together with CTMM TraIT and IMI TRANSLOCATION we gave 4 talks in the science and technology tracks, displayed 3 […]
One of challenges we had to tackle this year for one our customers, The Maastricht Study, was building a Data Download Portal for tranSMART. TranSMART allows you to export all the data just fine by itself, so you might ask why would you need a dedicated app for that. The thing is however, that tranSMART is not […]
The Hyve hosted a company visit for the RSG. This event was a rewarding opportunity to provide insight into the various activities and working philosophy of the company. Around 20 young bioinformaticians from all over the Netherlands attended this successful company visit. (PhD-) students and young professionals from the fields of bioinformatics and systems biology […]
On a nice spring evening Tim and I flew to Copenhagen to meet up with the people of Gritsystems. Together we form the technical heart of the implementation team of the ND4BB InfoCenter (a repository for preclinical and clinical data to facilitate antimicrobial research) in the Translocation project. The goal of this trip was to […]
On request of one of our clients we have recently evaluated the combination of ADAM and Apache Spark for processing of large scale genomics data. The steep increase in the amount of available genomics data triggers the need for tools that are able to store and handle large volumes of genomics data while ensuring necessary computational steps remain feasible within a reasonable amount of time. The combination of ADAM and Apache Spark showed to be successful.