Adding the first version of the techdev pipeline (tdPipeline)
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using one as though it was. Fixed, and debug code reverted.
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streaming/piping VCFs into the GATK. Notable changes:
- Public interface to RMDTrackBuilder is greatly simplified; users can use it only to build
RMDTracks and lookup codecs.
- RODDataSource and RMDTrack are no longer functionally at the same level; RODDataSources now
manage RMDTracks on behalf of the GATK, and the only direct consumers of the RMDTrack class
are the walkers that feel the need to access the ROD system directly. (We need to stamp out
this access pattern.
A few minor warts were introduced as part of this process, labeled with TODOs. These'll be
fixed as part of the VCF streaming project.
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into the CommandLine* classes. This makes it easier for external functionality
(such as the VCF streamer) to use GenomeAnalysisEngine directly.
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Fixed integration tests to wait on their own for the job to run instead of using SUB2_BSUB_BLOCK.
Updated VariantRecalibrationIntegrationTests MD5s which were knocked out of sync whele SUB2_BSUB_BLOCK was exiting in the middle of integration tests.
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SAMFileWriterStub now supports BAQ writing as an internal feature. Several walkers have the @BAQMode applied to this, with parameters that I think are reasonable. Please look if you own these walkers, though
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1. Fix: VCs were padded before the merge, but they were never unpadded afterwards. This leaves us with a VC that doesn't meet our spec.
2. Update: instead of running the merged VC through every standard annotation (which seems really wrong, since this isn't the annotator tool), just update the chromosome count annotations (AC,AF,AN) through VCUtils.
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of a sequence dictionary and related info. This will hopefully eliminate the cases in
which the refseq track depends a sequence dictionary / contig parser that hasn't been
specified.
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Added a @Hidden experimental argument -validate to VariantEval that allows external JEXL assertions that must evaluate to true will throw an exception.
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dependent on the contents of the integrationtest directory. Will figure
out how to better manage the integrationtest directory at some point in
the future.
- Up the max heap size for tests.
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- Changed RMDTrackBuilder to use SequenceDictionaryUtils.validateDictionaries for ref <-> ROD sequence dictionary validation.
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for anything that needs to be simultaneously aware of multiple references, eg
Queue's interval sharding code, liftover support, distributed GATK etc.
GenomeLocParser instances must now be used to create/parse GenomeLocs.
GenomeLocParser instances are available in walkers by calling either
-getToolkit().getGenomeLocParser()
or
-refContext.getGenomeLocParser()
This is an intermediate change; GenomeLocParser will eventually be merged
with the reference, but we're not clear exactly how to do that yet. This
will become clearer when contig aliasing is implemented.
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Bug fix to LiftoverVariants - no barfing at reference sites.
AlleleFrequencyComparison - local changes added to make sure parsing works properly
Added HammingDistance annotation. Mostly useless. But only mostly.
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Initial test to see how Bamboo will respond. More detailed email to follow.
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of traversal to avoid holding a reference to the microscheduler, which holds a reference to
the engine, which in turn holds a reference to the walker, which itself holds a reference to
all the data aggregated during the course of the traversal.
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parsing engine. Hugely lowers our memory footprint in integrationtests, but not yet enough to
run Mark's new parallelized VariantEvalIntegrationTests.
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Modified - SelectVariants: Hook up to VariantContextUtils to recalculate AC/AF/AN, which uses the accessor in VariantContext to do this. Somehow sites that were selected down to hom-ref genotypes only wound up getting positive AC.
**IMPORTANT** I kind of need input here. The header of a file used for an integration test specifies AC as being an integer. Recalculating it casts it into an integer list (which it should be, as it allows for alternate alleles). However this appears to clash with what the jexl expression is looking for? For now, the integration test itself needed to be changed -- it's unclear what to do when the header specifies AC of being one class, but recalculating it casts to another class, and I'm not sure what to do.
I'm committing my omni_qc pipeline because I'm almost certain 2 months down the road I'm going to wonder what the heck I did to generate my results.
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The core walker has been modified so that when variant contexts (eval and comp) are subset to command-line-specified sample(s), the chromosome count annotations (AC/AN/AF) are altered to reflect the AC/AN/AF of only those samples involved in the comparison. No more getting AC500 when you're comparing a 10-sample overlap. Interestingly enough, this didn't break any integration tests.
GenotypeConcordance now has two additional tables: Allele Count Statistics, and Allele Count Summary Statistics. These work exactly identically to the Sample Statistics and Sample Summary Statistics tables, except that the partition being used is no longer the sample, but instead the allele count of the variant sites. These tables stratify by both eval and comp ACs, e.g.
evalAC0
evalAC1
evalAC2
compAC0
compAC1
compAC2
Differences with previous integration tests were verified to only be in the Allele Count tables (by grepping them out of the diff); a new test has been added for the simple case of an AC=1 site in the eval becoming an AC=2 site in the comp.
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by the fact that the GATKSAMRecord, by design, needs to both inherit from
SAMRecord and wrap a 'member' SAMRecord, and method calls that aren't
implemented as explicit passthroughs can compromise the content of the
SAMRecord in subtle ways.
Will be automatically fixed when Picard moves to a lightweight SAMRecord
interface rather than the current heavyweight implementation. But in
the short-term, there's no obvious fix.
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- ProduceBeagleInputWalker
+ Now takes a validation ROD and a prior to give it, will use those genotypes in place of the variant genotypes if both are present
+ Takes a bootstrap argument -- can use some given %age of the validation sites
+ Optionally takes a bootstrap output argument -- re-prints the validation VCF, filtering those sites used as part of the bootstrap
-BeagleOutputToVCFWalker
+ Now filters sites where the genotypes have been reverted to hom ref
+ Now calls in to the new VCUtils to calculate AC/AN
-Queue
+ New pipeline libraries for easy qscript creation, still a work in progress, but this is a considerable prototype
+ full calling pipeline v2 uses the above libraries
+ minor changes to some of my own scripts
+ no more need for contig interval lists, these will be parsed out of your normal interval list when it is provided
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-- getToolkit().subContextFromSampleProperty(): filters a VariantContext to genotypes that come from samples that have a given property value
-- getToolkit().getSamplesWithProperty(): gets all samples with a given property
-- getToolkit().getSamplesFromVariantContext(): sample objects that are referenced by name in a VariantContext
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This will allow other programs like Queue to reuse the functionality.
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The GAE half has all the walker specific code. The new "Abstract" GAE has the rest of the logic.
More refactoring to come, with the end goal of having a tool that other java analysis programs (Queue, etc.) can use to read in genomic data.
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mOVsxGfDiiSMxVs2PPTVjzYTVbizlD6e
f9kUHUADFsZ0LiTGxRL5zPmq9kZcA4cQ
8eGHWJFAlBVmgxwPi3sMd1RmiN2PwHOf
iLhvHWveypKb2F8vKS5irHylc3pYvlOb
HDttXKUMEVoPrvVeWrH7E0htxYyNydMx
plus a bit of cleanup of custom exceptions in the sharding system.
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Changed integration tests, adding the -NO_HEADER argument, for walkers that previously did not include the command-line
arg headers.
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