Experimental Metadata [GitHub]

Use this tool to generate a CSV file with all the relevant metadata for an experiment.


Toggle between Generic or ALE metadata workflows


Using this tool at SBRG:

  1. Create a new folder on Nucleoid with the form data/raw_data/{User}/{Project Name}/{Folder Name}/.
    • Each data type collected on a given day gets a unique folder.
    • The Project Name can be anything you want, but try to make it short, unique, and descriptive.
    • The Folder Name looks like {YYYY}-{MM}-{DD}_{data type}.
    • To make things easier, after you fill out this form, the Folder Name is provided at the bottom of the page.
    • If there are duplicates, then add _1, _2, … to the end.
    • Example: data/raw_data/z1king/Y-ome/2015-11-19_Tn-Seq_1/
  2. Copy raw data files (e.g. *.fastq.gz from the MiSeq) to the new folder.
  3. Fill out this form, save the CSV file, and put it in your folder.


(Optional) Load an existing CSV file as a starting point for the new metadata file.
Drag and drop a CSV file.
Enter your metadata.
(Optional: ALE Specific) CSV with ALE sample names (row: ALE#, Flask#, Isolate#, Technical Replicate#).
Drag and drop a CSV file.
Save the metadata CSV file with your dataset.
Folder name