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khmer #1844
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Not 47.7 Gb |
hi @khuch123 this would be reasonable for RNAseq or a not-very-diverse metagenome or a super coverage genome, certainly. If you could post the command (in particular the -M parameter) that would help us take a look. What are you sequencing? |
./normalize-by-median.py -k 20 -C 20 -N 4 -x 5e8 -p --savegraph normC20k20.kh final.fq |
I tried the -M parameter but it was not working with -x command and I happen to see this command from the protocols of Kalamazoo metagenome assembly protocols |
Ahh, yes. OK, I think the main problem I see is that you are using a very
to use 20 GB of memory (or more - use as much as you have). This should result in many more reads being kept :) There should have been a warning about "use more memory" at the bottom of best, |
Okay Sir You are really very helping |
If I have to use more memory than 20 GB -M 20e9 |
The |
See the khmer docs for a more thorough discussion. |
I read through the docs |
This is shorthand for 20 × 109. http://python-reference.readthedocs.io/en/latest/docs/float/scientific.html Convenient notation so that you don't have to type out tons of |
If you don't specify a suffix like |
Did this answer your question(s) @khuch123? |
I got to do digital normalization with metagenome file of size 71.3 Gb, and I got file of 47.7 Gb after that, is it possible?
Shall I post my commands to let you know better and any help in this matter
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