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pnrobinson committed Nov 11, 2023
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Expand Up @@ -129,6 +129,39 @@ pipelines, and architecting software solutions for translational & clinical geno

### Peter Hansen, Ph.D.

<figure markdown>
![Peter Hansen](img/people/peter-hansen.jpg){ width="200" }
<figcaption>Peter Hansen
</figcaption>
</figure>

Peter Hansen studied bioinformatics at the Free University of Berlin from 2003 to 2010.
In 2011, he began his professional career at the Institute for Medical Genetics and Human Genetics at the Charité hospital in Berlin,
where he set up analysis pipelines for high-throughput sequencing data.
By analyzing ChIP-seq data from different collaborators,
he helped to elucidate the roles of various transcription factors in different contexts,
for example HOXD13 and PITX1 in limb development, PAX5 in classical Hodgkin's lymphoma, or E2F6 in CGI methylation.
In 2014, he continued his education as a doctoral student.
He developed the ChIP-seq peak calling software
[Q and Q-nexus](https://github.com/charite/Q).
Moreover, he led the project "Genomic diagnostics for the regulatory genome" at the Charité on behalf of Peter Robinson,
with a focus on conducting capture Hi-C experiments and data analysis.
In 2019, he received his
[Ph.D. in Bioinformatics](https://refubium.fu-berlin.de/bitstream/handle/fub188/24639/thesis_Hansen.pdf)
from the Department of Mathematics and Computer Science at the Free University Berlin and joined The Jackson Laboratory
for Genomic Medicine as a Bioinformatics Analyst.
He developed [GOPHER](https://github.com/TheJacksonLaboratory/Gopher),
a desktop application for capture Hi-C probe design,
and [Diachromatic](https://github.com/TheJacksonLaboratory/diachromatic),
a toolset for preprocessing and quality control of Hi-C and capture Hi-C data.
Furthermore, he characterized a feature of Hi-C data and used it to assess and mitigate technical bias.
In parallel, he contributed to team projects on a variety of topics
including the analysis of differential expression and splicing,
prediction of isoform functions,
prediction of associations between protein kinases and cancer,
and challenges in biomedical knowledge graph representation.
More recently, he has been working on ontologizing experimental mouse data from the Mouse Phenome Database at JAX and
representing it as Phenopakets.

### Guy Karlebach, Ph.D.

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