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I got the following error when I ran xpore diffmod
Loading python/3.9.13
Loading requirement: gcc/7.2.0 readline/8.1 curl/7.74.0 libxml2/2.9.1
pcre/8.44.utf8 libpng/1.2.59 sqlite/3.35.3 geos/3.4.2 libtiff/4.0.9
proj/7.2.0 tcltk/8.6.11 CpG-tools/1.1.0
Using the signal of unmodified RNA from /hpf/largeprojects/ccmbio/yliang/long_read_RNA/nanopore_brian/python_venv/lib/python3.9/site-packages/xpore/diffmod/model_kmer.csv
Process Consumer-11:
Traceback (most recent call last):
File "/hpf/largeprojects/ccmbio/yliang/long_read_RNA/nanopore_brian/python_venv/lib/python3.9/site-packages/pandas/core/indexes/base.py", line 3790, in get_loc
return self._engine.get_loc(casted_key)
File "index.pyx", line 152, in pandas._libs.index.IndexEngine.get_loc
File "index.pyx", line 181, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'GCTATGCTC'
sample1 and sample2 were from R10 flowcell and the rest were from R9 flowcell. Since nanopolish doesn't support R10 data, I used f5c, which supports R10 and R9 and does the same thing as nanopolish, to process all the data. I noticed there are some differences in the eventalign.txt output. In the eventalign output file, the two samples from R10 have the 9 k-mer and the rest R9 data has 5 k-mer.
Thank you for your reply and the suggestion in another thread about changing the 9mer to 5mer!
I have one more question about the xPore comparison analysis. Since I am combining data from R9 flowcell and R10(rna004) flowcell, is there a way xPore can adjust for the potential batch effect?
My comparison condition:
Sample A (R9), Sample B (R9), Sample1 (rna004) Vs Sample D (R9), Sample E (R9), Sample2 (rna004)
Hi,
I got the following error when I ran
xpore diffmod
This is my yaml for input
sample1 and sample2 were from R10 flowcell and the rest were from R9 flowcell. Since nanopolish doesn't support R10 data, I used f5c, which supports R10 and R9 and does the same thing as nanopolish, to process all the data. I noticed there are some differences in the eventalign.txt output. In the eventalign output file, the two samples from R10 have the 9 k-mer and the rest R9 data has 5 k-mer.
R10 data eventalign output:
R9 data:
Would this be the issue of why xpore outputs this error?
Thanks for the help!
Laur
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