Skip to content

Latest commit

 

History

History
52 lines (41 loc) · 2.09 KB

README.md

File metadata and controls

52 lines (41 loc) · 2.09 KB

hackseq19

Organizational files and discussions about hackseq 2019

For details about last years hackathon, checkout our wiki below.

Question? --> Email Us

When? Where? What?

We are having a Genomics Hackathon in Vancouver in 2019.

The website for the event lives here: http://www.hackseq.com/

The twitter account for this event is @hackseq

This event will be modeled on the NCBI hackathon format.

Organizing Committee

  • Emre Erhan (@emreerhan)
  • Kristen Gray (@klgray25)
  • Justin Jia (@imasianxd)
  • Jennifer Lin (@jenjaelin)
  • Sasha Maslova (@smaslova)
  • Noushin Nabavi (@NoushinN)
  • Baraa Orabi (@baraaorabi)
  • Alex Sweeten (@sweetiepi)
  • Aris Grout (@arisgrout)
  • Ben Cardoen (@bencardoen)
  • David Guo (@itsDagu)
  • Kate Gibson (@kfgibson)
  • Ogan Mancarcı (@oganm)
  • Reva Shenwai (@scatcher125)

hackseq19 Projects

  1. BeRi Environments for R Installations (https://github.com/hackseq/hs19-beri)
  2. Yeast-omics (https://github.com/hackseq/hs19-yeast)
  3. Rule-based Learning for Transcriptional Regulation (https://github.com/hackseq/hs19-rule)
  4. BugSeq (https://github.com/schorlton/bugseq-web)
  5. Mapping Polypharmacy Chemical Reactions in At-Risk Populations (https://github.com/hackseq/hs19-game)
  6. TALR: Targeted Assembly of Linked Reads (https://github.com/hackseq/hs19-talr)
  7. Visualizing Very Large Biological Networks
  8. Trends in Bioinformatics with RLadies
  9. A TraIN (Translating from Immunology to Neuroscience) for cell-to-cell communication molecules, & an R pipeline for TraIN!
  10. Hypothesis-Bio Automated Bioinformatics Bug Discovery
  11. Development of an interpretable deep learning framework to detect epistatic interactions between SNPs
  12. BiocSwirl()Terminal based Bioconductor Courses
  13. Predicting Short-Term Success of Influenza Virus Variants
  14. Mapping Polypharmacy Chemical Reactions in At-Risk Populations
  15. Virtual and Augmented Reality for Single-Cell Data Exploration