circM

Introduction

The circM.py script for merging circRNA prediction output.

Usage

circM.py

Usage:
  circM.py [ARGUMENTS] > [OUTPUT]
  
Options:
  -f <files>        Input files
  -a <string>       Algorithm 
                    [acsf, circexplorer, circexplorer2, 
                    ciri, ciri2, circrna_finder, dcc 
                    find_circ, knife, mapsplice, uroborus] 
  -cf <int>         Expression threshold for each sample, back-splice spanning reads (default=2)
  -cs <int>         Merged expression threshold, backsplice-spanning reads (default=2)

Example

To merge output from find_circ:

python circM.py -f *.circ_candidates.bed -a find_circ

Citation

Hansen TB. Improved circRNA Identification by Combining Prediction Algorithms. Front. Cell Dev Biol. 2018

License

Copyright (C) 2018 ncRNALab.