From 1b5893beb10262ce929f61dcabceb56e5d758140 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Baraa=20Orabi=20/bara=CB=90=CA=94=20=CA=95ra=CB=90bi/?= Date: Fri, 11 Oct 2019 08:45:50 -0700 Subject: [PATCH] Update README.md --- README.md | 35 +++++++++++++++++------------------ 1 file changed, 17 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index 1dcd54f..7c8d78b 100644 --- a/README.md +++ b/README.md @@ -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 |