Research
The Graim lab develops computational genomics tools to study cancer 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