The Future of Bioinformatics
Mar 25, 2022 - 9:00 AM
to Mar 25, 2022 - 4:00 PM
SCHEDULE
Title | Speaker | Location | |
| 9 - 9:10 | Opening Remarks | BCB GSO and Dr. Justin Walley, BCB DOGE | RM 3560 |
| 9:10 - 10:10 | Disentangling genomic bases of co-morbid conditions with Bayesian genomic methods | Dr. Ana Vazquez | RM 3560 |
| 10:10-10:20 | Break | ||
| 10:20 - 11:20 | Practical lessons learned from bioinformatics collaborations | Dr. Ryan Dale | RM 3560 |
| 11:20-1:00 | Lunch- Feast of Italy | RM 3580 | |
| 12:00-1:00 | Poster Sessions (See List Below) | RM 3580 | |
| 1:00-2:00 | Evolving computational systems to understand biology | Dr. Robert Cottingham | RM 3560 |
| 2:00-2:45 | Short Student Presentations (See Schedule Below) | RM 3560 | |
| 3:00-4:00 | Nutrigenomics in Exercise and Sport | Dr. Nanci Guest | RM 3560 |
| 4:00 | Award ceremony and End of Symposium | RM 3560 |
SHORT PRESENTATIONS 2:00-2:45 RM 3560
| 2:00-2:05 | A novel approach to E3 ubiquitin ligase-substrate interaction prediction in Arabidopsis | Jodi Callwood, BCB/Computer Science |
| 2:10-2:15 | Using Software Engineering to Assist the Design of Synthetic Microbes | Alexis Marsh, BCB/Computer Science |
| 2:20-2:25 | Developing Speech-Based Phenotyping Methods for Association Genetics Studies | Colleen Yanarella, BCB/Agronomy |
| 2:30-2:35 | Protein Language Models Outperforms State of the Art Homology Search Tools in Accuracy and Speed | Mesih Kilinc, BCB/BBMB |
| 2:40-2:45 | Joint transcriptomic-metabolomic analysis in maize silks | Yuxiang Guo, BCB/GDCB |
POSTER SESSION: 12:20-1:00 RM 3580
| Relative Feature Importance for Prediction of Phenotypical Differences between Protein Variants | Daniel Kool, BCB/BBMB |
| Haploid expression in predicted orphan genes of Maize | Colin Finnegan, BCB/GDCB |
| Sickle Hemoglobin Dynamics Affects the Oxygen Heme Binding Pocket | Vinchencia Anderson, BCB/BBMB |
| Porcine immune regulatory networks at single cell resolution using scATACseq | Pengxin Yang, Animal Science |
| New substitution matrices reflecting relationships between protein evolution and structure | Kejue Jia, BBMB |
| Phylogenetic Profiling of Protein Clusters | Henri Chung, BCB |
| Distributed Training in Graph Neural Network Improves Accuracy: A Case Study in Protein Fold Classification | Suri Dipannita Sayeed, Computer Science |
| N1 Neuraminidase Diversity and Evolution in Influenza A Virus in North American Swine |