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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depristo
hanna
bthomas
kshakir