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@baraaorabi
baraaorabi authored Oct 11, 2019
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Expand Up @@ -36,21 +36,20 @@ This event will be modeled on the [NCBI hackathon](https://github.com/NCBI-Hacka

## hackseq19 Projects

| # | Project name | Repo |
| --------- | ------------------------------------------------------------ | ----------------------------------------- |
| 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 | https://github.com/hackseq/hs19-biovis |
| 8 | Trends in Bioinformatics with RLadies | https://github.com/hackseq/hs19-trends |
| 9 | TraIN (Translating from Immunology to Neuroscience) | https://github.com/hackseq/hs19-train |
| 10 | Hypothesis-Bio Automated Bioinformatics Bug Discovery | https://github.com/Lab41/hypothesis-bio |
| 11 | Development of an interpretable deep learning framework to detect epistatic interactions between SNPs | https://github.com/hackseq/hs19-deep |
| 12 | BiocSwirl()Terminal based Bioconductor Courses | https://github.com/hackseq/hs19-biocswirl |
| 13 | Predicting Short-Term Success of Influenza Virus Variants | https://github.com/hackseq/hs19-flu |
| 14 | Mapping Polypharmacy Chemical Reactions in At-Risk Populations | https://github.com/hackseq/hs19-pop |
| 15 | Virtual and Augmented Reality for Single-Cell Data Exploration | https://github.com/hackseq/hs19-var |

| # | Project name | Team lead | Co-lead | Repo |
| ---- | ------------------------------------------------------------ | --------------- | ------------------ | ----------------------------------------- |
| 1 | BeRi Environments for R Installations | Rob Gilmore | | https://github.com/hackseq/hs19-beri |
| 2 | Yeast-omics | Noushin Nabavi | Matt Emery | https://github.com/hackseq/hs19-yeast |
| 3 | Rule-based Learning for Transcriptional Regulation | Alex Sweeten | | https://github.com/hackseq/hs19-rule |
| 4 | BugSeq | Sam Chorlton | | https://github.com/schorlton/bugseq-web |
| 5 | Mapping Polypharmacy Chemical Reactions in At-Risk Populations | Artem Babaian | German Novakovsky | https://github.com/hackseq/hs19-game |
| 6 | TALR: Targeted Assembly of Linked Reads | Shaun Jackman | | https://github.com/hackseq/hs19-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/hackseq/hs19-train |
| 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/hackseq/hs19-biocswirl |
| 13 | Predicting Short-Term Success of Influenza Virus Variants | Caroline Colijn | Priscila Biller | 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 |

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