The Robinson Lab has developed a wide range of algorithms for exome and genome sequencing, ChIP-seq, immunogenomics, and other genomics applications, Gene Ontology analysis, computational phenotype analysis, as well as various algorithms from the fields of Machine Learning and modeling of biological networks with the tools of linear algebra and graph theory. software for computational phenotype analysis, translational genomics, ChIP-seq, and whole-exome/whole-genome sequence analysis.
Our group has developed the Human Phenotype Ontology and applications of this ontology to differential diagnostics and genomics analyses. The HPO is being developed with the Phenomics Team and the Monarch Initiative.
Ontologies and Precision Medicine
Much of our research centers on the use of ontology-driven algorithms for precision medicine. The following review provides a good overview of this area.