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I want to use gemini to annotate my variants generated from GATK pipeline using hg38 genome. Below is the gemini version I'm using:
iit@iit:~$ /home/iit/bin/gemini -v
gemini 0.30.2
Installation:
Gemini data files updated
Finished: gemini, tools and data installed
Tools installed in:
~/Toolkit/gemini
NOTE: be sure to add ~/Toolkit/gemini/bin to your PATH.
Data installed in:
~/Toolkit/gemini
NOTE: Install data files for GERP_bp & CADD_scores (not installed by default).
Here is my full command that I used and get the following error:
$ /home/iit/bin/gemini load -v /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf --cores 4 --skip-gerp-bp --skip-cadd -t VEP /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.db
/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/config.py:61: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(in_handle)
Bgzipping /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf into /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.gz.
Indexing /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.gz with grabix.
Loading 103 variants.
Breaking /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.gz into 4 chunks.
Loading chunk 0.
Loading chunk 1.
/bin/sh: 1: gemini: Permission denied
Loading chunk 2.
/bin/sh: 1: gemini: Permission denied
Loading chunk 3.
/bin/sh: 1: gemini: Permission denied
/bin/sh: 1: gemini: Permission denied
Traceback (most recent call last):
File "/home/iit/bin/gemini", line 7, in
gemini_main.main()
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_main.py", line 1249, in main
args.func(parser, args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_main.py", line 204, in load_fn
gemini_load.load(parser, args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 49, in load
load_multicore(args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 93, in load_multicore
chunks = load_chunks_multicore(grabix_file, args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 264, in load_chunks_multicore
wait_until_finished(procs)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 359, in wait_until_finished
raise ValueError("Processing failed on GEMINI chunk load")
ValueError: Processing failed on GEMINI chunk load
$
Please let me know how to solve it.
Thanks.
The text was updated successfully, but these errors were encountered:
chmod +x /path/to/gemini is not working. Checked sliver but not understanding it. It gives:
Finished. evaluated 70 total variants and wrote 67 variants that passed your slivar expressions
But it looks like it just applied some filters . GEMINI brings in information from a variety of sources including: OMIM, ClinVar, GERP, PolyPhen 2, SIFT, ESP, 1000 Genomes, ExAC, ENCODE, CADD and more! which are not there in slivar. Is it correct
?
I want to use gemini to annotate my variants generated from GATK pipeline using hg38 genome. Below is the gemini version I'm using:
iit@iit:~$ /home/iit/bin/gemini -v
gemini 0.30.2
Installation:
Gemini data files updated
Finished: gemini, tools and data installed
Tools installed in:
~/Toolkit/gemini
NOTE: be sure to add ~/Toolkit/gemini/bin to your PATH.
Data installed in:
~/Toolkit/gemini
NOTE: Install data files for GERP_bp & CADD_scores (not installed by default).
Here is my full command that I used and get the following error:
$ /home/iit/bin/gemini load -v /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf --cores 4 --skip-gerp-bp --skip-cadd -t VEP /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.db
/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/config.py:61: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
config = yaml.load(in_handle)
Bgzipping /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf into /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.gz.
Indexing /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.gz with grabix.
Loading 103 variants.
Breaking /home/iit/Documents/geminifile/sample.somatic.filtered.PASS.vep.vcf.gz into 4 chunks.
Loading chunk 0.
Loading chunk 1.
/bin/sh: 1: gemini: Permission denied
Loading chunk 2.
/bin/sh: 1: gemini: Permission denied
Loading chunk 3.
/bin/sh: 1: gemini: Permission denied
/bin/sh: 1: gemini: Permission denied
Traceback (most recent call last):
File "/home/iit/bin/gemini", line 7, in
gemini_main.main()
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_main.py", line 1249, in main
args.func(parser, args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_main.py", line 204, in load_fn
gemini_load.load(parser, args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 49, in load
load_multicore(args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 93, in load_multicore
chunks = load_chunks_multicore(grabix_file, args)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 264, in load_chunks_multicore
wait_until_finished(procs)
File "/media/iit/f2bf4ae5-e0cd-4f34-9453-b6a8e1a665e21/Toolkit/gemini/anaconda/lib/python2.7/site-packages/gemini/gemini_load.py", line 359, in wait_until_finished
raise ValueError("Processing failed on GEMINI chunk load")
ValueError: Processing failed on GEMINI chunk load
$
Please let me know how to solve it.
Thanks.
The text was updated successfully, but these errors were encountered: