Our lab works on identifying the genes that regulate immune cell formation and function in humans. For this, we have produced large datasets of paired immunophenotypic data (1500 immune cell features measured by flow cytometry) and genome-wide genotype data in thousands of individuals. The flow cytometry data is analysed by a method called “gating”, where each cell is classified into different categories according to parameters like size, complexity and surface protein expression. To automate the gating process, we have developed pattern recognition tool (AliGater). We are now looking for a student who will use AliGater and extend the tool as needed to gate a new set of samples.
This project is suitable for a for ambitious students who are comfortable with Python, ideally as a 30 credit project. You will get support from the developers of AliGater and work together with a diverse team of researchers with clinical, wet lab and bioinformatics expertise.
For more information, contact: Aitzkoa Lopez de Lapuente Portilla aitzkoa.lopez_de_lapuente_portilla@med.lu.se