DeCovid

DeCovid is a Shiny app designed for exploring basal expression level differences between demographic risk factors, such as age and sex, for COVID-19 Disease Map and COVID-19-related pathway genes expressed in various human tissues. It uses data from the GTEx database to study these differences and helps researchers understand baseline immune patterns towards COVID-19​​.

Info

Members (researchers): Ana Conesa

Research Groups: Genomics of Gene Expression

Contact Email: ana.conesa@csic.es

Tool Repository: https://github.com/ConesaLab/DeCovid

Documentation: https://github.com/ConesaLab/DeCovid

Publications DOI: doi:10.3390/genes11121447

Institution: Instituto de Biología Integrativa de Sistemas (I2SYSBIO)

Application domain:

Analysis packages (R, Python, etc.), Bioinformatics Software and Tools, Data Analysis, Data Visualization, Desktop application, Expression Profiling, Pathway analysis, RNA Sequencing (RNA-seq), Systems Biology, Transcriptomics

Technical details
Type of application
  • Desktop application
  • R/python package
Software compatibility
  • Linux
  • Mac
  • Windows
Hardware requirements
  • Nno specify particular hardware requirements
Programming language
  • R
Type of containerization
  • Docker
Wrapper type
  • None
Input file formats
  • csv
  • tsv
Output file formats
  • html
Compatibility with other tools
  • COVID-19 Disease Map
  • WikiPathways