Andreas Schlicker received a B.Sc. and M.Sc. in Bioinformatics from
Saarland University in Saarbrücken, Germany, and worked as
PhD student in the Department of
Computational Biology and Applied Algorithmics and the Research Group for
Molecular Networks in Medical Bioinformatics at the
Max Planck Institute for
Informatics. During his PhD studies, he developed novel methods for analyzing the semantic and functional similarity of genes and gene products
based on their ontological annotation. He implementated the GOTax platform for comparative genomics (
GOTax), which
includes the Functional Similarity Search Tool (FSST) for the efficient computation of functional similarity. Furthermore, he developed the Functional Similarity
Matrix database (
FunSimMat), which is the first comprehensive database of pre-computed semantic and functioanl
similarity values.
Since February 2010, he works as a postdoctoral fellow in the Bioinformatics and Statistics group headed by Lodewyk Wessels at the NKI. Currently, he works on the analysis
and integration of large-scale genomics and proteomics datasets in the context of research on colorectal cancer. Specifically, he is interested in finding similarities and
differences between cell lines and tumor samples.
