hackseq23

ಠ_ಠ soon…


+ The Serratus Project Nature paper

{ v.22.01.26 }

  • Team Serratus (hackseqRNA) published their work in [Nature]

  • Discovery of 130,000+ new RNA viruses from public seq-data

+ Team singlecellVR paper is out

{ v.21.10.28 }

+ bugSeq start-up + paper

{ v.21.03.25 }

+ hackseqRNA was epic.

  • Our most ambitious hackathon to date. We teamed up with the international 25th RNA Society Meeting to bring together world-class RNA computational biologists.

  • With COVID-19 this digital hackathon helped RNA-biologists pivot and contribute to the ongoing global health crisis.

+ hackseq19 was a great success!

  • Over 100 people participated to work on 15 exciting projects, ranging from single-cell virtual reality to predicting strains of Influenza.

  • Congratulations to team BiocSwirl() for winning the people’s choice award! Lisa Cao’s team stole the show with their unique bioinformatics tutorials.

  • We have some exciting events planned for 2020, stay up to date on twitter and our mailing list!


+ Team XYalign’s paper is published

{ v.19.17.09 }

+ The Hackathon-driven tutorial development paper is published

{ v.18.12.24 }


+ hackseq18 was a smash!

  • 80 people joined up to tackle 8 innovative projects, ranging from Abomination Assemblers to the Viral Deep Seas.

  • When the dust settled, Team beRi were awarded this year’s winner and claim the title of bio-hackers supreme.

  • David Guo stole our hearts, winning the #BioHaiku Contest amongst the 38 poetic entries.


+ Team bioSyntax's paper is published

{ v.18.08.22 }


+ hackseq17 was a global success!

  • Read the Ubyssey Feature on hackseq17

  • 54 participants from 6 countries came together (locally and virtually!) for an intense 3 days of hacking away at genomics based problems.

  • Team bioSyntax took first place by popular vote, and Team gene-fusion detection toolkit was second overall.


+ hackseq16 was a riot!

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Catalyzing Bio+Informatics

We want to mix a diverse set of scientists to catalyze open & innovative solutions to today's biggest [*]omics problems.