hackseqRNA: COVID-19 Ultra-hackathon

Open-Science collaborations to fight the pandemic!

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Immediate collaboration. today - may 21

A_ Contribute a SARS-CoV-2/COVID-19 research project idea.

B_ Sign up as a participant and contribute to a hackseq project immediately.

C_ Volunteer on COVID-19 Resources Canada as a bioinformatician

Hackathon. may 22 - 24

With the ground-work laid out, we will make a unified final push over a 72-hour hackathon to bring each project to completion. Teams will be ‘set’ for this period to allow a dedicated and sustained effort to bring each project to fruition.

Key Dates

  • March 23: Project + Participant recruitment open
  • May 1st: Project submissions close
  • *May 18 - 20: Online Project Info-Sessions
  • May 22 - 24: HACKATHON

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100% DIY

  • Pitch an idea.

  • Form a team.

  • Hack a solution together.

hackseq is a peer-led hackathon, you propose the projects and we help you recruit a team of interdisciplinary scientists and developers to turn your idea into a reality.

We are currently focusing on high-risk, high-reward research projects on SARS-CoV-2/COVID-19. Pitch your problem and we’ll help you make it a reality. We also are accepting current COVID-19 projects looking to recruit additional computational help.

Together, we’re collaborating to bring together world-class RNA biologists, bioinformaticians, statisticians and computer scientists for our most pressing hackathon. Teams may range from 3-20 people, development is ongoing and will end with a 72 hour hackathon to develop cutting-edge software, pioneer RNA analysis pipelines, and build digital infrastructure to fight the SARS-CoV-2 pandemic.

Questions? Want to know if your idea a good fit? Shoot us an {email}.

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## Example past hackathon projects

  • [XYalign]* : Inferring sex chromosome and autosomal ploidy in NGS data *published

  • [bioSyntax]* : Syntax highlighting for computational biology *published

  • [Genomic Data Analysis in R]* : Tutorials for bioinformatics in R *published

  • [BiocSwirl()] : Interactive bioinformatics workflow tutorials

  • [Single Cell Virtual Reality] : Explore single-cell RNA-seq data in VR

  • [ChromeQC] : Summarise sequencing library quality of 10X Genomics Chromium linked reads

  • [Snacc] : Compress and compare pathogen genomes without sequence alignment

Explore more projects from [hackseq16], [hackseq17], [hackseq18], and [hackseq19].