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Hi. I'm Chris Miller. I'm a graduate student in my fifth year of a Computational Biology PhD program, where I use large scale integration of genomic data to help understand the aetiology of cancer.
The main tools in my arsenal are Ruby, R, Bash, and access to a cluster of Linux machines. I also sling a little Perl and Python if the need arises.
My interests lie in creating integrative analysis and visualization pipelines that help us better understand structural variation in cancer. I spend lots of time looking at copy-number alterations, translocations, and gene fusions, but also routinely work with data from transcriptome sequencing and epigenomic assays. I also develop tools that combine different types of genomic and epigenomic data to generate hypotheses about functional modules that contribute to cancer phenotypes.
For more information, you can view my CV here.
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