I’m currently working on calibrating ecDNA evolution parameters using machine learning.
Publications
“Epigenetic dysregulation from chromosomal transit in micronuclei” . Nature 619, no. 7968 (2023): 176–183.
“Origins and impact of extrachromosomal DNA” . Nature 635, no. 8037 (2024): 193–200.
“AmpliconSuite: an end-to-end workflow for analyzing focal amplifications in cancer genomes” . bioRxiv (2024).
Amplicon Classifier GitHub“Engineered extrachromosomal oncogene amplifications promote tumorigenesis” . Nature (2024): 1–10.
Other Research Work
Contributed to the development of Epigene-450k, a tool for epigenomic analysis using methylation data.
Tool Website: epigen.ccm.sickkids.ca
Related Publication: “EpigenCentral: Portal for DNA methylation data analysis and classification in rare diseases” . BMC Genomics 21, no. 1 (2020): 1–15.
GitHub: bdamerac/Epigene-450kParticipated in a theoretical computer science working group during my undergrad. The discussions were focused on “Reconfiguration of Non-crossing Spanning Trees” .
During my undergrad, I also worked on modelling neural spike train data using point processes with Prof. Reza Ramezan .