MOMA analyses a wide range of diagnostic and research samples. This produces large amounts of data and requires a solid IT infrastructure. A highly customized laboratory information system (LIMS), network and server hardware capable of secure handling and computation as well as bioinformatical pipelines for many different purposes are required.
High performance computing (HPC) and local LIMS team
We have a close collaboration with both GenomeDK at Aarhus University and National Genome Center and are using both HPC facilities as data repositories and computational centers. Data is securely transferred to dedicated servers and automatic data processing is starting up based on the type of samples being sequenced.
The MOMA LIMS team works together with the laboratory staff to develop systems for handling the workflow in the lab and the metadata that follows all samples.
In-house bioinformatic pipelines and quality control
We are constantly developing and improving our in-house bioinformatic pipelines that handle both small panels, exomes, genomes, and RNA samples. The pipelines provide quality metrics of the overall runs and individual samples and present these to the laboratory and variant interpreters (clinical academics). The pipelines calculate DNA changes relative to the human reference, compared to sets of control samples, and in case of somatic cancer material compared to a blood sample from the same patient.
This landscape of differences all together describe the human genetic variation but also allows us to pinpoint individual disease-causing mutations that facilitate a clinical diagnosis of the patient.
Collaboration with research and clinical departments
We work together with several research groups from MOMA and other labs and aid in processing samples and understanding the bioinformatic analysis.
We have collaborations through CONNECT and directly with departments