- 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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BAQ has generally useful improvements. Refactor code to make it easier for BAQUnitTest to run. minBaseQuality enforced on output, as well as input now. Added BAQUnitTest that checks that the BAQ calculation is performing as expected. Still needs to be expanded significantly.
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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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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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- 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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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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the empty list. Score another victory for the integration tests.
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argument. Brought it back, and added an integrationtest to make sure it
stays around.
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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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hanna
depristo
aaron
bthomas
kshakir