Making sense of Bio/Med big data
My lab uses freely available metadata related to the fields of cancer, aging, and stem cell biology to address different questions regarding molecular regulation in the cells. We have implemented gene expression analysis and gene regulatory protein-protein interaction networks in our previous projects. Now, we are trying to include data mining approaches in our works to gain more power in analyzing such BioMed data. Our ultimate goal is to find new genes, proteins, and pathways as targets for cancer diagnosis, and find new drug targets for precision medicine.
We will be more than happy to chat with anyone interested in these fields.
Drawing logo of bioinformatics in the lab
Highlights
Our Research
We have implemented multiple Bioinformatics techniques in cancer and stem cell biology to uncover important pathways and genes in these fields.
Our Resources
Applications and codes that have been used or developed in our group would be a good starting point for many who want to conduct similar analyses. We will deposit them in the resource section and update them regularly.
Our Team
please visit our GitHub page to look at the codes that we are using. We have modified available codes to better integrate them into our analysis pipelines.