Skip to content

Latest commit

 

History

History
47 lines (41 loc) · 3.39 KB

presentations.md

File metadata and controls

47 lines (41 loc) · 3.39 KB
Raw

JHU EN.600.749: Computational Genomics: Applied Comparative Genomics

Project Presentations

Presentations will be a total of 15 minutes: 12 minutes for the presentation, followed by 3 minutes for questions. We will strictly keep to the schedule to ensure that all groups can present in class!

Schedule of Presentations

Day Time     Team Name         Students                                Title
Wed Apr 21 1:30-1:45 Team T-Cell Hanzhi (Gary) Wang, Sihao (Lynn) Yin Sequence-Base Prediction of Cross-Reactivity in T Cell agaisnt SARS-COV2 Epitopes
Wed Apr 21 1:45-2:00 deMarKate Margaret Starostik, Katharine Jenike Identifying RNA modifications in direct RNA sequencing data from Oxford Nanopore
Wed Apr 21 2:00-2:15 Daniel's Team Daniel Borders Cannabis Project
Wed Apr 21 2:15-2:30 Team Blake Blake Johnson scCNV from scRNA
Wed Apr 21 2:30-2:45 Team Omar Omar Ahmed Developing a Realistic Nanopore Signal Simulator Using a Generative Adversarial Network
Mon Apr 26 1:30-1:45 The Contextusplicer(s) Theron Palmer Single-cell alternative splicing analysis using non-negative matrix factorization and differentially expressed splice junctions.
Mon Apr 26 1:45-2:00 The Genome Pals James Forsmo, Soichiro Asami Evaluation of Single-Cell Monocle Algorithm with Low Read Coverage
Mon Apr 26 2:00-2:15 SIN Sambit Panda, Ida Shinder, Natalia Rincon Uncovering the Origin of Polyploidy in Coast Redwood
Mon Apr 26 2:15-2:30 Team Amy Amy Gill Variant analysis of a whole exome trio to investigate a heritable neurological phenotype
Mon Apr 26 2:30-2:45 Team Yanbo Yanbo Wang PacBio single-molecule flouorescence resonance energy transfer (FRET) analysis pipeline
Wed Apr 28 1:30-1:45 Team Malamutes Beril Erdogdu, Yuchen Ge Calling genetic variants from long-read RNA sequencing of SK-BR-3 breast cancer cell line
Wed Apr 28 1:45-2:00 Team Bohao Bohao Tang Robustness of Single Cell Pseudo-time Reconstruction Methods
Wed Apr 28 2:00-2:15 Team Yash Yash Sonthalia Applying ML classification models to accurately predict cell-type among datasets using expression data from single-cell RNA seq experiments
Wed Apr 28 2:15-2:30 Team Maddy Maddy Scott Entropy of DNA
Wed Apr 28 2:30-2:45 Team Kathleen Kathleen Newcomer Genomic Vis


Recommended outline for your talk (~1 minute per slide):

  1. Title Slide: Who are you, title, date
  2. Intro 1: Whats the big idea???
  3. Intro 2: More specifically, what are you trying to learn?
  4. Methods 1: What did you try?
  5. Methods 2: What is the key idea?
  6. Data 1: What data are you looking at?
  7. Data 2: Anything notable about the data?
  8. Results 1: What did you see!
  9. Results 2: Does it work?
  10. Results 3: How does it compare to other methods/data/ideas?
  11. Discussion 1: What did you learn from this study?
  12. Discussion 2: What does this mean for the future?
  13. Acknowledgements: Who helped you along the way?
  14. Thank you!

I strongly discourage you from trying to give a live demo as they are too unpredictable for a short talk. If you have running software you want to show, use a "cooking show" approach, where you have screen shots of the important steps.