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Roth-Lab / JointSNVMix

Automatically exported from code.google.com/p/joint-snv-mix
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Floating point exception when running jsm.py train #19

Open GoogleCodeExporter opened 9 years ago

GoogleCodeExporter commented 9 years ago 
What steps will reproduce the problem?
1. Attempt to run JointSNVMix train:
python jsm.py train joint_snv_mix_two Homo_sapiens_assembly19.fasta normal.bam 
tumor.bam joint_priors.cfg joint_params.cfg test.cfg

What is the expected output? What do you see instead?
Randomly sub-sampling every 100th position with normal depth 10 and tumor depth 
10 the data set.
Subsampling ref GL000193.1
Floating point exception

What version of the product are you using? On what operating system?
JointSNVMix-0.7.5
pysam-0.5
SGE 6.2
RedHat 5.4 x86_64 : Rocks 5.3 (Rolled Tacos) 

Please provide any additional information below.

Original issue reported on code.google.com by derekchi...@gmail.com on 8 Jan 2013 at 2:03

GoogleCodeExporter commented 9 years ago 
Sorry for the delay Derek. Have you tried version 0.8.0, there were some 
improvements to the numerics which may alleviate this issue.

Cheers,
Andy

Original comment by AndrewJL...@gmail.com on 13 Mar 2013 at 12:50