Comments (3)
Hi nafeesatk,
Everything you've done looks correct. However, I've run that same sample through MIDAS and get several hundred uniquely reads mapped to the marker genes.
I think the easiest solution would be for me to recreate the issue on my system using your FASTQ file. If you send me your email address, I can send a dropbox link where you can upload your FASTQ.
Thanks,
Stephen
from midas.
Hi Stephen,
Thank you so much for your help! My email is [email protected].
Best,
Nafeesa
from midas.
Hi Nafeesa,
I see the issue now. It appears you have merged read1 and read2 from SRR1927149_1.fastq and SRR1927149_2.fastq.
For most Illumina libraries read1 and read2 occur about 350 bp apart. So you won't get an alignment that covers the entire read, because in reality, there is a big gap between them. MIDAS sees that the alignments only cover a portion of the read and is therefore throwing them out.
I would strongly recommend running MIDAS without merging your reads. But if this is not possible, you can try decreasing the value for --aln_cov. The default if 0.7, but you can try dropping it to 0.35.
Best,
Stephen
from midas.
Related Issues (20)
- Error: could not execute bowtie2 binary HOT 5
- test_midas.py -vf test_class (__main__._07_RunSNPs) ... FAIL HOT 1
- TypeError: cannot pickle '_io.TextIOWrapper' object HOT 7
- setup.py: add scripts
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- Strain tracking - getting identified strain names
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- AttributeError: Can't pickle local object 'parallel.<locals>.init_worker' HOT 1
- Question regarding speed of execution HOT 1
- test_class (__main__._07_RunSNPs) ... FAIL
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from midas.