Organizational files and discussions about hackseq 2019
For details about last years hackathon, checkout our wiki below.
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.
| # | 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 |
| # | 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 |