Research
We focus on developing innovative and efficient methods to analyze large DNA sequence data sets in order to provide genome-scale understanding of cellular function. Our current and past research contributions integrate sophisticated machine learning techniques and statistical methods that answer questions such as:
- what are the exon-intron structures of genes?
- how do we use RNA sequencing to reconstruct the splice variants that are transcribed in different cell types and conditions?
- how do we use sequence data to determine the levels of gene expression?
Contact
| Address: |
3100 Wyman Park Drive South Wing, Room S257 Baltimore, MD 21211 |
| Email: | mpertea [at] jhu.edu |
| Phone: | (410) 516-4038 |
| Admin: |
Sarah Anderson sande125 [at] jhu.edu (410) 516-4060 |
