2019 Schedule

Sessions will be composed of 3-4 talks, 25 minutes each with time for questions. There will be a total of 3 sessions, followed by a poster session. Individuals interested in being considered for a poster presentation should submit an abstract with their registration.

Tentative schedule:

Registration and Opening Remarks (Ford Alumni Center – Lee Barlow Giustina Ballroom)
8:30 AM BGMP Staff University of Oregon Registration and coffee/refreshments
9:00 AM Jayanth Banavar University of Oregon Opening remarks
Session 1 (Ford Alumni Center – Lee Barlow Giustina Ballroom)
9:15 AM Nyasha Chambwe Institute of Systems Biology A Cloud-Based Resource for Synthetic Lethal Interaction Prioritization
9:45 AM Brian Lee UCSC Genome Browser New features and hidden treasures of the UCSC Genome Browser for visualizing genomics
10:15 AM Maryam Shenasa Thermo Fisher Scientific Thermo Fisher: Company Overview
10:30 AM Aren Ewing Thermo Fisher Scientific Thermo Fisher Scientific CSD Bioinformatics and Assay Design
10:45 AM Coffee Break
Session 2 – BGMP Alumni Perspectives (Ford Alumni Center – Lee Barlow Giustina Ballroom)
11:00 AM Summer Elastady NanoString No Reference: Sequencing in uncharted territory
11:30 AM Will Sullivan Human Cell Atlas Single Cell: Building an Atlas
12:00 PM  Adrian Bubie Icahn School of Medicine at Mount Sinai Evaluating tumor fitness and immune activity in the checkpoint treated and endogenous settings
Lunch Caribbean Buffet: Smoked jerk chicken, Jerk tofu, Strawberry mango salad, Pineapple cilantro rice, House black beans, Grilled zucchini
Session 3 (Ford Alumni Center – Lee Barlow Giustina Ballroom)
1:30 PM Blair Benham-Pyle Stowers Institute for Medical Research A single cell reconstruction of planarian regeneration
2:00 PM Paul Spellman Oregon Health and Sciences University Computational Cancer Biology at the Knight Cancer Institute
2:30 PM Lisa Bramer Pacific Northwest National Lab Enhancing Omics Data Interpretation using Visualization and Data Integration
3:00 PM Coffee Break
3:15 PM  Yipeng Wang  Epic Sciences Utilization of Computer Vision, Single Cell Sequencing and Machine Learning in the Development of Circulating Tumor Cell (CTC) Predictive Biomarkers in Metastatic Castration Resistant Prostate Cancer (mCRPC)
3:45 PM Nicholas Johnson Virginia Commonwealth University Pathogenesis of Congenital Myotonic Dystrophy
4:15 PM Julia Zeitlinger Stowers Institute for Medical Research Using deep learning to understand the cis-regulatory code in mouse embryonic stem cells
4:45 PM Kevin Matlock Omics Data Automation ODA – Breaking Silos for Better Care
5:00 PM Bill Cresko University of Oregon Closing remarks
Session 4 – Poster Session (Ford Alumni Center – Susie & Randy Papé Hearth Foyer)
5:15 PM Poster Session and Reception
7:00 PM Meeting End