a member field of RMDTrackBuilder was getting rebuilt every time it was
called, creating concurrency issues.
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Adding the first version of the techdev pipeline (tdPipeline)
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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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- basic unit tests for interval sorting and merging with mix of mapped/unmapped.
- validation to ensure that locus walkers (really all non-read walkers) blow up with a user error when -L unmapped is specified.
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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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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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parsing engine. Hugely lowers our memory footprint in integrationtests, but not yet enough to
run Mark's new parallelized VariantEvalIntegrationTests.
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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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Changed integration tests, adding the -NO_HEADER argument, for walkers that previously did not include the command-line
arg headers.
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Ryan is using this to modify VCF code today...
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Also added a new error message that I thought would be helpful...
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*** Three integration tests had to change: ***
RecalibarationWalkersIntegrationTest:
One of the tests was using the interval as the snp track, and wasn't supplying a DbSNP track (for CountCovariates)
SequenomValidationConverterIntegrationTest:
relies on Plink ROD which we've removed.
PileupWalkerIntegrationTest:
we no longer have implicit interval tracks, so there isn't a rod name over the specified region. Otherwise the same result.
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This commit adds two important classes: Sample, which contains data about one sample; and SampleDataSource, which manages sample data a la ReferenceDataSource and ReadsDataSource.
This code should be stable, but it has not been integrated with existing walkers yet. That's the next commit.
In the meantime, feel free to experiment with the code - there are two basic example walkers in the playground.sample package. And PLEASE let me know if you see any errors/inconsistencies.
Note that this also adds a new dependency on SnakeYaml, a YAML parser.
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(-B:name,type file) as well as the old syntax. Also, a bonus feature: BAMs can now be tagged at the
command-line, which should allow us to get rid of some of the hackier calls in GenomeAnalysisEngine.
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- Eliminate reduncancy of filter application.
- Track filter metrics per-shard to facitate per merging.
- Flatten counting iterator hierarchy for easier debugging.
- Rename Reads class to ReadProperties and track it outside of the Sting iterators.
Note: because shards are currently tied so closely to reads and not the merged triplet of <reads,ref,RODs>, the metrics
classes are managed by the SAMDataSource when they should be managed by something more general. For now, we're hacking
the reads data source to manage the metrics; in the future, something more general should manage the metrics classes.
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monolithic sharding only) that when traversing by read, map() function will not be called for loci
off the end of the reference.
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impacts performance on low-pass data and, if it works well, will create a more automatic version of the tool.
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are gone where I could identify them, but hierarchies that split to support two sharding systems have
not yet been taken apart.
@Eric: ~4k lines.
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hanna
depristo
carneiro
bthomas
kshakir
aaron
ebanks
rpoplin