Skip to content

nickp60/fcid

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

fcid

flow cell ID: parse illumina fastq headers to determine machine and flowcell type Thanks to:

Disclaimer: this is not a replacement for proper sequencing run tracking. Disclaimer: PRs welcome to fill gaps! Instrument IDs are less reliable as those are often changed by the sequencing center.

Installation


pip install fcid
# or, for you devs
git clone <this repo> && cd fcid
pip install --editable .

Usage (CLI)

# fcid CABBCANXX
# fcid  K11111 --by-machine
# fcid 22C37GLT3

Usage (package)

>>> from fcid import run
>>> run.get_tech_type("CABBCANXX", run.FCIDs)
[['HiSeq 2500'], 'High Output v3 flow cell']

Test

pytest

Deployment

  1. Update version pyproject.toml
  2. commit and tag
  3. push to github and make a release
  4. check the package deployment action

About

No description, website, or topics provided.

Resources

License

MIT, MIT licenses found

Licenses found

MIT
LICENSE
MIT
LICENSE.md

Stars

Watchers

Forks

Packages

No packages published

Languages