Contents
- Output folder of rMATS
- Condition 1
- Annotation file: .gtf
- Transcript quantification file: .tsv
- Note: examine .tsv file to identify the name of the column containing transcript raw count data
- Condition 2
- Transcript quantification file: .tsv
--condition1 TEXT Name of condition 1
--condition2 TEXT Name of condition 2
--rmats_out_folder PATH Path to output of rMATS
-t, --type TEXT specify whether using JC or JCEC read-based data
from rMATS output (to do: update this to be a selector option)
--c1_quantcol TEXT name of condition 1 quantification.tsv column
corresponding to condition 1 counts
--c2_quantcol TEXT name of condition 2 quantification.tsv column
corresponding to condition 2 counts
--c1annot PATH Path to long read annotation GTF for condition 1
--c1quant PATH Path to long read quantification TSV for condition
1
--c2quant PATH Path to long read quantification TSV for condition
2
-o, --outputpath PATH Path to output
For a list of commands, run lime --help
Step 1: Ensure you have the python packages Click, gtfparse, and pandas installed. If necessary, create a conda environment and activate using the following command:
conda activate LIME
pip install --editable .
lime --condition1 --condition2 --rmats_out_folder --type --c1_quantcol --c2_quantcol --c1annot --c1quant --c2quant --outputpath
For Gloria: run.sh has the lime command line prompt configured with paths to the tester input files in project storage. Please run the following command in your terminal after cloning the repository and navigating to the main folder splice-event-to-isoform-pipeline in Terminal:
bash run.sh