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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@Requires(value={},referenceMetaData=@RMD(name="eval",type= VCFCodec.class))
you'd say:
@Requires(value={},referenceMetaData=@RMD(name="eval",type= VCFRecord.class))
Which is more in-line with what was done before. All instances in the existing codebase should be switched over.
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- Clarify the message emitted when -XL is supplied so I don't spend another half day chasing a bug that doesn't exist.
- Crash with a helpful message when running -nt with non-TreeReducible walkers.
- Crash with a helpful message when running -nt with reduceByInterval walkers.
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as walker attributes or from the command-line. Not ready yet! Downsampling/deduping
works in a general sense, but this approach has not been completely optimized or validated.
Use with caution.
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the reference implementation. Also implemented a heap size monitor that can
be used to programmatically report the current heap size.
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unicode quote characters embedded in it. These characters were invisible inside
IntelliJ but cause compile warnings for Ryan and Aaron, who for whatever reason
have a different default charset. Fixed.
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