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I'm trying to do a classroom experiment using smaller and larger values for k.It looks like kmer=31 is the largest possible size, but why is this so? Also, the error message for kmer sizes > 31 could be more clear.
|| This is the script 'normalize-by-median.py' in khmer.
|| You are running khmer version 1.2-rc2-6-gc5dee21
|| You are also using screed version 0.7
||
|| If you use this script in a publication, please cite EACH of the following:
||
|| * MR Crusoe et al., 2014. doi: 10.6084/m9.figshare.979190
|| * CT Brown et al., arXiv:1203.4802 [q-bio.GN]
||
|| Please see http://khmer.readthedocs.org/en/latest/citations.html for details.
PARAMETERS:
- kmer size = 33 (-k)
- n tables = 4 (-N)
- min tablesize = 1.5e+09 (-x)
Estimated memory usage is 6e+09 bytes (n_tables x min_tablesize)
--------
making k-mer counting table
terminate called after throwing an instance of 'khmer::khmer_exception'
what(): Supplied kmer string doesn't match the underlying k-size.
Aborted (core dumped)
The text was updated successfully, but these errors were encountered:
On Thu, Oct 23, 2014 at 05:55:41PM -0700, Matt MacManes wrote:
I'm trying to do a classroom experiment using smaller and larger values for k.It looks like kmer=31 is the largest possible size, but why is this so? Also, the error message for kmer sizes > 31 could be more clear.
Thanks, Matt!
The k-mer size implementation is pleiotropic; @wrightmhw is working to fix.
For now we're limited to 64 bits or 32 bases of DNA.
I'm trying to do a classroom experiment using smaller and larger values for k.It looks like kmer=31 is the largest possible size, but why is this so? Also, the error message for kmer sizes > 31 could be more clear.
normalize-by-median.py -p -x 15e8 -k 33 -C 50 --out khmer_normalized.fq interleaved.fq
The text was updated successfully, but these errors were encountered: