2. Fixed bug in histogram calculation for small intervals
3. Better output in DoCWalker
4. Comments added to code
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2245 348d0f76-0448-11de-a6fe-93d51630548a
I am now at a point where I can merge the functionality from other coverage walkers into this one.
Thanks to Andrew for input.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2239 348d0f76-0448-11de-a6fe-93d51630548a
- Moved validation walkers to new qc dir
- Killed unused test
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2218 348d0f76-0448-11de-a6fe-93d51630548a
- Renamed keys to fit with the standard naming
- FisherStrand is no longer standard
- Integration tests no longer test experimental annotations since they're not stable
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2216 348d0f76-0448-11de-a6fe-93d51630548a
getNegLog10PError() does not equal the confidence score (you need to multiply by 10 as confidence is traditionally phred scaled). Probably we should change the method to be getNeg10Log10PError(). Anyone have strong feelings on this?
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2207 348d0f76-0448-11de-a6fe-93d51630548a
- DepthOfCoverage is now by reference (so locus-by-locus output correctly reports zero-coverage bases)
- VariantsToVCF now lets you bind variants with any string except intervals and dbsnp (not just NA######)
- A PileupWalker integration test on a particularly nasty FHS site
- Two second-base annotation related integration tests on that same site
+ outputs were all hand-validated in matlab; within a certain tolerance for the annotations
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2197 348d0f76-0448-11de-a6fe-93d51630548a
1. Only do calculations in UG for alternate allele with highest sum of quality scores (note that this also constitutes a bug fix for a precision problem we were having).
2. Avoid using Strings in DiploidGenotype when we can (it was taking 1.5% of my compute according to JProfiler)
UG now runs in half the time for JOINT_ESTIMATE model.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2141 348d0f76-0448-11de-a6fe-93d51630548a
Computes a metric for how much error is left that isn't explained by ref or snp bases. This is the sum of Q scores, weighted by the proportion of non-ref non-snp bases to non-snp bases. Reported in Log space.
Update to the integration test so bamboo doesn't look as though someone murdered it with a spork
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2124 348d0f76-0448-11de-a6fe-93d51630548a
Added integration test for pooled model and updated other joint estimation tests to be more comprehensive now that they are faster.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2123 348d0f76-0448-11de-a6fe-93d51630548a
2. Retired allele frequency range from UG, which wasn't very useful.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2113 348d0f76-0448-11de-a6fe-93d51630548a
[There was no reason to enforce that every VCF being output from the GATK should have the samples sorted, since someone might want them ordered non-alphabetically]
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2102 348d0f76-0448-11de-a6fe-93d51630548a
Updated the integration tests that were failing to due to different ordering of genotyping entries in VCF, I'll check in the VCF diff tool I wrote when I get a cycle or two.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2092 348d0f76-0448-11de-a6fe-93d51630548a
2. Allele frequency spectrum is not emitted for single samples (since it doesn't make sense).
3. If in pooled mode, throw an exception of pool size isn't set appropriately.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2072 348d0f76-0448-11de-a6fe-93d51630548a
This will output for hapmap variant sites:
chromosome position ref allele variant allele number of variant alleles of the individuals depth of coverage power to detect singletons at lod 3 number of variant bases seen whether or not variant was called
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2068 348d0f76-0448-11de-a6fe-93d51630548a
Second base skew annotations and integration tests. Nothing need be given except -A SecondBaseSkew; the statistic it annotates calls with is a chi-square statistic given by the deviation of the observed proportion of reference second-best-bases from the expected 1/3. Future additions may be to ask that the deviation be instead from a given transition table.
A big note for all users: All IllegalStateExceptions from the variation ROD (e.g. the RodGeliText) are dealt with SILENTLY. I understand this isn't optimal, but I'd rather simply not annotate a non-bi-allelic site than fail completely (there are quite a few such sites even on the regions over which the integration test has been written).
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2064 348d0f76-0448-11de-a6fe-93d51630548a
ebanks
aaron
depristo
chartl
rpoplin
hanna