The Computational Biology Seminar is a weekly series of seminars on topics in computational biology presented by invited speakers, Duke faculty, and CBB doctoral and certificate graduate students.
Spring 2021 SCHEDULE
Time: 12p-1:00p
Place: All spring 2021 seminars will be remote via Zoom
Meeting ID: 956 9494 4995
Contact: Tasha Allison
Date | Speaker | Institution | Host | Presentation Title |
1/25 | Purushothama Rao Tata | Duke University | Simon Gregory | Integrated approaches to define cells and cell states in health and disease |
2/1 | Ekta Khurana | Cornell University | Yuning Zhang | Non-coding genetic variation in cancer |
2/8 | Matthew Hirschey | Duke University | Tim Reddy | Data-drive Hypothesis: a resource for biological discovery |
2/15 | Jason Ji | Duke University | Cliburn Chan | Computational Methods for Decoding Gene Regulation in Single Cells |
2/22 | Lea A. Geontoro- Cancelled until fall 2021 | University of Wisconsin-Madison | Daniel Lew | Inducing rengeneration across animals with dietary supplements |
3/1 | Rob Mitra | Washington University in St. Louis | Raluca Gordân | How do transcription factors achieve their specificities in vivo? |
3/8 | Daniel Reker | Duke University | Bruce Donald | Computer-assisted drug discovery and delivery |
3/15 | Ethan Garner | Harvard University | Debraj Ghose | Using single-molecule imaging to understand how bacteria grow as rods and control their rate of growth |
3/22 | Robert Patro | University of Maryland College Park | Niven Singh | Tell me something I don't know: The role of inferential uncertainty in bulk and single-cell RNA-seq analysis |
3/29 | Chongzhi Zang | University of Virginia | Scarlett Zhou | Integrative computational approaches for modeling transcriptional regulation |
4/5 | Christina Leslie | Sloan Kettering | Harshit Sahay | The 3D genome and predictive models of gene regulation |