Skip to content

SBRG/dbgwas-network

Repository files navigation

DBGWAS Network Analysis

Analyze and interpret the De bruijn graphs output of DBGWAS using graph based method from networkx.

  1. Download all the component network in json format.

download_json.py <dbgwas_dir> <dest_dir> <chrome_loc> <download_loc>

  • dbgwas_dir: path to the directory containing the component specific visualization file. Directory should end with 'visualisations/components/'
  • dest_dir: path to directory where all the output json files will be saved
  • chrome_loc: path to chrome driver. You can download the chrome drivers here. Be sure, to match the driver version with the installed browser version.
  • download_loc: download destination of chrome profile. Default chrome setting is /home/usr/downloads/
  1. Generate fasta and metadata file from the components.

Cite

Poudel Saugat, Hyun Jason, Hefner Ying, Monk Jon, Nizet Victor, Palsson Bernhard O (2023) Interpreting roles of mutations associated with the emergence of S. aureus USA300 strains using transcriptional regulatory network reconstruction eLife 12:RP90668

https://doi.org/10.7554/eLife.90668.2

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages