Computing Coverage Table #232
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Because I made a for loop to iterate through all my samples when running calculate_read_coverage.py, my coverage table is a table with just contigs and lengths for each sample. Can I use this downstream or is there an easy way to turn those into coverages (ie normalize or something?). Thanks so much! |
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Replies: 4 comments 3 replies
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Hi @Jmaccaro, thank you for reaching out. I'm not quite sure I understand your question. What downstream results are you attempting to compute? Do you need to merge all of the coverage tables together? |
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This is so helpful thank you so much!!
…On Tue, Feb 1, 2022 at 3:32 PM Evan Rees ***@***.***> wrote:
From your script, I'm guessing the coverage table was repeatedly
overwritten. To help you out, you could try our most up-to-date code.
Documentation for our updated code base may be found at
autometa.readthedocs.io
Here is the section for retrieving a formatted coverage table
<https://autometa.readthedocs.io/en/latest/step-by-step-tutorial.html#coverage-calculation>
at varying stages of coverage calculations.
This will require installation which may be found in the installation
docs section
<https://autometa.readthedocs.io/en/latest/installation.html#install-from-source-using-make>.
Notice, you will need to install autometa from the git repository rather
than the section labeled (quickest) as we have yet to release autometa on
bioconda.
The section to which I'm referring is titled, "Install from source (using
make)
<https://autometa.readthedocs.io/en/latest/installation.html#install-from-source-using-make>
"
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Jessica Maccaro
Ph.D. Student in McFrederick Lab
Department of Entomology
University of California, Riverside
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Once I have downloaded the source code (I had to use the full commands option because I am running on a cluster and it didn't like the make option- they seemed the same since it was still putting the source code from the git repository) I ran this code in a similar loop to before. Here is the full output incase it helps: Thanks again so much! |
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It turned out to be an incorrect file path ✅ on the end-user side. Whoops! 🙈 |
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It turned out to be an incorrect file path ✅ on the end-user side. Whoops! 🙈