Research
The Graim lab develops computational genomics tools to study disease causality and progression, patient-specific therapeutic response, and hidden molecular subtypes that are often disguised by noisy data and low sampling rates. We incorporate data from many species, allowing us to leverage significantly more data from which we discover hidden evolutionary patterns of cancer development and cellular response. Our overarching goals are to identify mechanisms of human diseases and to enable development of personalized therapies.
2024
      Annual Review of Biomedical Data Science  ·  23 Aug 2024
    
      Journal of the American Veterinary Medical Association  ·  01 May 2024
    
      Scientific Reports  ·  07 Mar 2024
    
      Clinical and Translational Science  ·  01 Mar 2024
    
2023
      Advanced Drug Delivery Reviews  ·  01 Aug 2023
    
      Critical Care Explorations  ·  14 Jun 2023
    
2022
      npj Precision Oncology  ·  01 Dec 2022
    
2021
      Genome Research  ·  01 Feb 2021
    
2019
      Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  ·  01 Jan 2019
    
2018
      Cancer discovery  ·  15 Oct 2018
    
      Molecular biology and evolution  ·  01 May 2018
    
2017
      PloS one  ·  06 Dec 2017
    
      Cancer research  ·  01 Nov 2017
    
      BMC medical genomics  ·  31 Mar 2017
    
      Cancer cell  ·  02 Feb 2017
    
2016
      Nature methods  ·  22 Feb 2016
    
2015
      Cell  ·  05 Nov 2015
    
      Proceedings of the National Academy of Sciences of the United States of America  ·  12 Oct 2015
    
2013
      Nature Methods  ·  01 Mar 2013
    
      BMC bioinformatics  ·  28 Feb 2013
    
 
    
       
       
       
       
       
       
       
       
       
       
       
       
       
       
       
       
       
       
      