Hackathon team: gene expression analysis for Covid-19 Virtual Biohackathon (vBH)
https://github.com/virtual-biohackathons/covid-19-bh20
https://github.com/virtual-biohackathons/covid-19-bh20/wiki/GeneExpression
We want to perform RNAseq-based analyses on published datasets in order to better understand the interaction between human host and virus.
Fig.1 - We want to focus on already known genes (such as ACE2 and TMPRSS2) but also on new candidate ones that may play a punctual or a general role in the interaction between host and virus. To this end, we will perform extensive RNAseq analyses as described in the workflow section belowBiological: Perform a global RNA-Seq analysis with SARS-CoV-2 infected datasets to search for new candidate genes for testing experimentally
Methodological: Create a packaged reproducible pipeline in Docker to help scientists to easily treat their RNA-Seq data and for us if any new dataset comes out
We have four main projects going on. To summarize them :
- SARS-CoV-2 infection global analyses: will include global gene expression, functional and regulation of gene expression analyses.
- Human-virus interaction analyses : will try to search RNA-binding proteins that might be key in the interaction between human and SARS-CoV-2.
- Increased risk factors analyses: will look for gene expression data in other datasets to compare especially with selected genes from previous analyses.
- Subtyping of expression response to drugs after COVID infection: will focus on trying to search for potential drugs that could impact in important genes for the interaction of human and virus.
- Reporting findings to electronic medical records : will try to make these findings arrive at the hands of clinicians.
Please see the project folder for details on each individual project.
We are tracking progress on project-specific boards here: https://github.com/avantikalal/covid-gene-expression/projects