Translational Bioinformatics - Robinson Lab

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.


Peter Robinson has relocated to the Jackson Laboratory for Genomic Medicine in August, 2016 and is currently building a group at JAX.

We're recruiting!

The Robinson lab is hiring! We are looking for talented and motivated bioinformaticians, computational biologists, or computer scientists with an interest in translational bioinformatics. See the following listings for details.

Postdoc positions (HPO-related: 2x; Genomic algorithms (1x)