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Include epigenomic in description of our work (thanks for the feedbac…
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…k, Ruby Liao!)
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kdkorthauer committed Oct 17, 2023
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The Korthauer lab is a group of researchers working to advance statistical methodology and computational tools for the analysis of high-dimensional genomics data. With these tools, we aim to uncover new molecular signals in cancer, child health, and development. Our group is based at the [University of British Columbia](https://ubc.ca) and [BC Children's Hospital Research Institute](https://bcchr.ca).
The Korthauer lab is a group of researchers working to advance statistical methodology and computational tools for the analysis of high-dimensional genomics and epigenomics data. With these tools, we aim to uncover new molecular signals in cancer, child health, and development. Our group is based at the [University of British Columbia](https://ubc.ca) and [BC Children's Hospital Research Institute](https://bcchr.ca).

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We develop and apply tailored statistical tools designed to extract biological insights from vast amounts of genomic data. New technologies are constantly being developed to increase the scope and scale of genomic studies, which introduces new data science challenges for us to tackle.
We develop and apply tailored statistical tools designed to extract biological insights from vast amounts of genomic and epigenomic data. New technologies are constantly being developed to increase the scope and scale of genomic studies, which introduces new data science challenges for us to tackle.

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We develop and maintain freely available, open source software implementations of genomic data science tools.
We develop and maintain freely available, open source software implementations of genomic and epigenomic data science tools.

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# {% include icon.html icon="fa-solid fa-microscope" %}Research

Our interdisciplinary research lies at the interface of statistics and genomics. With our methods development work, we aim to advance statistical methodology and computational tools for the analysis of high-dimensional biological data. Our work is also highly collaborative; we routinely work alongside experimentalists and clinicians to apply cutting edge bioinformatics tools to uncover new molecular signals in cancer, child health, and development. You can check out our publications listed below, or find them listed on [Google Scholar](https://scholar.google.ca/citations?user=spd-KjUAAAAJ&hl=en).
Our interdisciplinary research lies at the interface of statistics and genomics. With our methods development work, we aim to advance statistical methodology and computational tools for the analysis of high-dimensional biological data. Our work is also highly collaborative; we routinely work alongside experimentalists and clinicians to apply cutting edge bioinformatics tools to uncover new molecular signals in cancer, child health, and development. We are especially interested in advancing understanding of epigenetics - the study of how gene activity is controlled through mechanisms that don't involve changes in the DNA sequuence itself - at the genome scale. You can check out our publications listed below, or find them listed on [Google Scholar](https://scholar.google.ca/citations?user=spd-KjUAAAAJ&hl=en).


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