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Hello,
I am running calc_asts after annotate_ase and I get this error saying that no ASE stats pass filtering. However I manually checked a sample and from 20k variants it keeps 1500 variants (surprisingly low considering that in the paper it is stated that 77% of variants are kept after filtering) included in 900 distinct genes , without any of the provided warning flags and with raw_depth>=20 (as described in the paper). From this distinct genes 250 are significant base on FDR that I had to compute as for some reason I got Nan for all variants.
I attach 1) my code for calc_ase, annotate_ase and calc_asts and then the error from calc_asts:
�[32m2024-09-17 16:41:07 INFO: Welcome to calc_asts !�[0m
�[32m2024-09-17 16:41:07 INFO: Author: Dafni Glinos (dglinos@nygenome.org)�[0m
�[32m2024-09-17 16:41:08 INFO: Filtering annotated stats�[0m
�[32m2024-09-17 16:41:08 INFO: Filtering based on blacklisted�[0m
�[32m2024-09-17 16:41:08 INFO: Filtering based on warning�[0m
�[32m2024-09-17 16:41:08 INFO: Filtering based on multi_mapping�[0m
�[32m2024-09-17 16:41:08 INFO: Filtering based on other_warning�[0m
�[32m2024-09-17 16:41:08 INFO: Filtering based on indel_warning�[0m
�[1m�[31m2024-09-17 16:41:08 CRITICAL: No ASE stats that pass filters provided�[0m
Traceback (most recent call last):
File "/apps/GPP/ANACONDA/2023.07/envs/lorals2/bin/calc_asts", line 33, in <module>
sys.exit(load_entry_point('LORALS==1', 'console_scripts', 'calc_asts')())
File "/apps/GPP/ANACONDA/2023.07/envs/lorals2/lib/python3.9/site-packages/LORALS-1-py3.9.egg/lorals/scripts.py", line 392, in calc_asts
ValueError: No ASE stats that pass filters provided
The text was updated successfully, but these errors were encountered:
Hello,
I am running calc_asts after annotate_ase and I get this error saying that no ASE stats pass filtering. However I manually checked a sample and from 20k variants it keeps 1500 variants (surprisingly low considering that in the paper it is stated that 77% of variants are kept after filtering) included in 900 distinct genes , without any of the provided warning flags and with raw_depth>=20 (as described in the paper). From this distinct genes 250 are significant base on FDR that I had to compute as for some reason I got Nan for all variants.
I attach 1) my code for calc_ase, annotate_ase and calc_asts and then the error from calc_asts:
The text was updated successfully, but these errors were encountered: