kadenerlab / cORF_pipeline

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cORF_predictio_pipeline

usage: cORF_predictio_pipeline.py [input data]

input data:

-circ , -ci, -c
A file with the circles locations in the format as in example file : circ_example_dm3.txt

-annotation, -a, -A Annotation file in the format as in example file : annotation_example_dm3.txt

-system,-sys,-Sys full path to fasta file of the genome

-output, -o, -O output file name.

optional:

--force_exact Use only circRNA with junction on annotaed exons boundaries

--collapse_frames report only one cORF for each circRNA. Choose the longest ORF.

Output

.GARY conatain the list of cORF found and in addition: information about the predicted sequence, strat and stop positions and annotation data.