Method development in biomedical and clinical research
One of our goals is to contribute to the development of new techniques. Here are some examples of collaborations that focus on the method development within research projects, tool development and education. Also we list some of our projects targeting clinical implementations through CGG and GMS.
Research projects
We usually collaborate with researchers in the analysis of their data. Within these projects we were able to extend our in-depth participation without any cost to the researcher. We focused on projects with clinical and biological impact, and in need of tailored analysis, integration and visualization.
Research projects
- Bioinformatics from an Engineering point of view (External link)
- BMI epidemiology study (External link)
- Distribution of the RNase MRP (External link)
- Gall bladder cancer profiling (External link)
- Integration of omic data in Bipolar Disorder (External link)
- Molecular regulation of homeostasis in human liver (External link)
Tool Development
These projects emerged from analyses that we identified to be of general interest. We were able to devote time to implement workflows and tools. We are thankful to our collaborators who helped us to validate the results from the resulting tools.
Tool development
- Biomarker discovery with machine learning (External link)
- InVi: Integration & Visualization of genomic data (External link)
- Ioniser: Assisting glycostructures annotation (External link)
- mitoChip-seq: Mitochondria-specific peak detection (External link)
- Odyssey 2.1.1: Imputation of genomic data (External link)
- P-PSY-Finder: Detection of processed pseudogenes (External link)
- REAPER: A light-weight file monitor (External link)
- TC-Hunter: Transgenic insertion sites detection (External link)
Tool evaluation
It is common that within a specific analysis, several tools are available and, sometimes the lack of golden standards makes it difficult to select the best tool if it has not been previously evaluated. These projects show some of our experiences while evaluating these tools.
Education
Besides aiding researchers in the analysis of their data we are also invested in teaching. Several of our courses were initially developed thanks to this grant. Now they are part of our standard courses. Moreover, we were able to share our experience in adopting short bioinformatics courses for PhD during the pandemic.
Interested in collaborating with us?
We are dedicated to advancing biomedical research through the development of innovative bioinformatics and statistical methods.
We welcome new collaborations and are keen to co-apply for research grants—reach out to start the conversation.
To book a meeting, contact us via email: bioinformatics@gu.se