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hackseq19

Organizational files and discussions about hackseq 2019

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

hackseq18 Organizational Wiki (HOWTO)

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)
  • David Guo (@itsDagu)
  • Kate Gibson (@kfgibson)
  • Ogan Mancarcı (@oganm)
  • Reva Shenwai (@scatcher125)

hackseq19 Projects

# Project name Team lead Co-lead Repo
1 BeRi Environments for R Installations Rob Gilmore https://github.com/datasnakes/beRi
2 Yeast-omics Noushin Nabavi Matt Emery https://github.com/lstmemery/yeast-transcriptomics
3 Rule-based Learning for Transcriptional Regulation Alex Sweeten https://github.com/SweetiePi/rule-based-learning
4 BugSeq Sam Chorlton https://github.com/schorlton/bugseq-pipeline
5 Game of Evolution (REvolution) Artem Babaian German Novakovsky https://github.com/fransilvion/REvolution
6 TALR: Targeted Assembly of Linked Reads Shaun Jackman https://github.com/sjackman/talr
7 Visualizing Very Large Biological Networks Anamaria Crisan https://github.com/hackseq/hs19-biovis
8 Trends in Bioinformatics with RLadies Jasmine Lai Raissa Philibert https://github.com/hackseq/hs19-trends
9 TraIN (Translating from Immunology to Neuroscience) Lucia Guerri https://github.com/NCBI-Hackathons/TraIN-Translating-cell-to-cell-communication-from-Immunology-to-Neuroscience-on-RNAseq-data
10 Hypothesis-Bio Automated Bioinformatics Bug Discovery Benjamin Lee https://github.com/Lab41/hypothesis-bio
11 Development of an interpretable deep learning framework to detect epistatic interactions between SNPs Sean La Habib Daneshpajouh https://github.com/hackseq/hs19-deep
12 BiocSwirl()Terminal based Bioconductor Courses Lisa N. Cao Mariam Arab https://github.com/lisancao/biocswirl
13 Predicting Short-Term Success of Influenza Virus Variants Caroline Colijn Priscila Biller & Maryam Hayati https://github.com/hackseq/hs19-flu
14 Mapping Polypharmacy Chemical Reactions in At-Risk Populations Veena Ghorakavi https://github.com/hackseq/hs19-pop
15 Virtual and Augmented Reality for Single-Cell Data Exploration Michael Vinyard Luca Pinello https://github.com/hackseq/hs19-var

README Reviews

# Nominated reviewer Assigned project to review
1 Cedric Wang https://github.com/hackseq/hs19-flu
2 Sedat Demiriz https://github.com/hackseq/hs19-pop
3 Kate Gibson https://github.com/schorlton/bugseq-pipeline
4 Heather Van Tassel https://github.com/sjackman/talr
5 Abhijit https://github.com/hackseq/hs19-var
6 Alice Zhu https://github.com/fransilvion/REvolution
7 Javier Castillo-Arnemann https://github.com/NCBI-Hackathons/TraIN-Translating-cell-to-cell-communication-from-Immunology-to-Neuroscience-on-RNAseq-data
8 Jasmine Lai https://github.com/lisancao/biocswirl
9 Nicole https://github.com/Lab41/hypothesis-bio
10 Benjamin Lee https://github.com/hackseq/hs19-biovis
11 Sean La https://github.com/hackseq/hs19-trends
12 Kate Tyshchenko https://github.com/datasnakes/beRi
13 Frank Hui https://github.com/hackseq/hs19-deep
14 Maggie Fu https://github.com/lstmemery/yeast-transcriptomics
15 Michael Vinyard https://github.com/SweetiePi/rule-based-learning