Floating point exception when running jsm.py train #19
Description
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