Updated the Queue scatter/gather for read walkers to include -L unmapped on the last scatter job when intervals aren't specified, and to map it correctly when it is explicitly set.
Simplified the build.xml/ivy.xml to fix a bug reported with "ant clean dist test" where the scalac target wasn't found.
Now building all scala code at the same time, just like all java code is compiled at the same time.
Sped up the build for everyone by uncommenting a small bit of classes so that javac/scalac will not constantly launch trying to build .class files that will never compile.
Moved some source files to their expected location so that the .java/.scala -> .class is a one-to-one match, again keeping the compilers from wasting cycles.
Used <uptodate> and <touch> to skip extracting the help text and generating the GATK Queue extensions when the source files haven't been modified.
Fixed a couple errors when the <javadoc> task is run.
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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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Ability to genotype candidate variants from input vcf is retained and can be turned on by command line argument but is disabled by default.
Code, by default, will build a consensus of the most common indel event at a pileup. If that consensus allele has a count bigger than N (=5 by default), we proceed to genotype by computing probabilistic realigmment, AF distribution etc. and possibly emmiting a call.
Needed for this, also added ability to build haplotypes from list of alleles instead of from a variant context.
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subjected to and passes cursory testing on one dataset (and all integration tests pass).
However, there's a small library of validation checks, and unit and integration tests
that must be added.
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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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Set the -bigMemQueue in the FullCallingPipelineTest to GSA to avoid waiting for the week queue when it is busy.
Fixed the package definition of PipelineTest so that scalac won't recompile it every time.
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Added an initial test for genotyping chr20 on ten 1000G bams.
Since tribble needs logging support too, for now setting the logging level and appending the console logger to the root logger, not just to "org.broadinstitute.sting".
Updated IntervalUtilsUnitTest to output to a temp directory and not the SVN controlled testdata directory.
Added refseq tables and dbsnps to validation data in BaseTest.
Now waiting up to two minutes for gather parts to propagate over NFS before attempting to merge the files.
Setting scatter/gather directories relative to the -run directory instead of the current directory that queue is running.
Fixed a bug where escaping test expressions didn't handle delimiters at the beginning or end of the String.
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When a QGraph is empty displaying a warning instead of crashing with an JGraph internal assertion error.
Cleaned up code using the Log4J root logger and explicitly talking to a logger for Sting.
When integration tests are run detecting that the logger has already been setup so that messages aren't logged twice.
Updated from Ivy 2.2.0-rc1 to 2.2.0.
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- Changed RMDTrackBuilder to use SequenceDictionaryUtils.validateDictionaries for ref <-> ROD sequence dictionary validation.
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Removed obsolete usages of PackageUtils with updated PluginManager.
Ported Queue interval utilities written in scala over to Sting's java IntervalUtils.
Added a very basic intergration test to ensure that the fullCallingPipeline.q compiles.
Added options to specify the temporary directories without having to use -Djava.io.tmpdir (useful during the above integration test).
While adding tempDir added options to specify the run directory from the command line, for example "-runDir v1".
Upgraded to scala 2.8.1 and updated calls to deprecated functions.
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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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Unrelated change: in the sorted-target mode (when we read sorted target intervals one by on from a file), one can now specify multiple semicolon-separated interval files (all must be sorted). Not hugely useful probably, but makes --targetIntervals always process its values in exactly the same way, so we are consistent (it has been already taking ;-separated args in unsorted mode)
NwayIntervalMergingIterator: reads in multiple sorted GenomeLoc input streams (iterators) and presents them as a single sorted and merged stream
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- Forcing user to set the temp directory via -Djava.io.tmpdir to avoid filling up /tmp.
- By default deleting job outputs tagged as intermediate.
- Defaulting pipeline to scatter count 1 (no reads deleted).
- Cleaning up temp classes even when scripting fails.
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1: -sample can now include a file, which will be parsed for sample-name entries
2: If you request a sample to run analysis on, but it is not present in any of your RODs, VEW will exception out
3: Change added to parse Integer, String, and List<Integer> type Allele Count annotations (error otherwise)
4 [slightly problematic]: The count objects now maintain row-keys in order, as the keys were taking an inordinate amount of time in onTraversalDone (multiple calls to getRowKeys(), so many multiple sorts of the same underlying unsorted object, very bad)
There is a legacy comparison object which is unused which I will strip out soon.
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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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where, when the system can't find a plugin of the correct name, the system
prefers to crap all over itself and throw an unintelligible NullPointerException
rather than displaying an intelligent error.
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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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pieces of core that depend on playground. Most of these have been eliminated by
(temporarily) promoting Aaron's report system to core in this checkin. I'll
follow up with other changes in separately.
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is. Required to fix bug ZjhCJAdwhtFq1x54ZlmlN8pFNcbrRpdJ and similar. We
might want to change this particular case to a ReviewedStingException after
we gain a bit more experience with it.
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Added a pipeline java bean and YAML utility to serialize java beans.
Added a getFirehosePipelineYaml.sh that can pull firehose data into the pipeline yaml file format.
Updated the fullCallingPipeline.q to begin using the pipeline yaml file format for bams and reference.
More changes to come as this code gets tested out in the fullCallingPipeline.
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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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a) Redid way to compute path metrics in indel error model. Paper formulation where we have an anchor point in the alignemt between read and haplotype won't work in practice except in nice data sets that are perfectly indel-realigned and that are well mapped by aligner. New formulation doesn't assume this, and it's actually simpler and uses less code. It now resembles more a classic SW dynamic programming formulation but it still preserves the HMM probabilistic formulation.
b) Added a programmable call threshold, set by command line.
c) Use now sample name from BAM file, remove -sampleName argument.
d) Simplify loop to compute read-haplotype likelihoods.
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a) Turns out previous change of centering haplotype around indel was a bad idea. Context to the left of indel is important but not as important as right one, because by definition all alleles start at the same location, so haplotype is the same to the left of indel regardless of allele. So, go back to having a constant size window to the left of event.
b) Expand reference context so we can test larger haplotypes.
c) Optimize computation of read likelihoods by doing them in linear array instead of in a matrix - no difference in biallelic sites but could be significantly faster in multiallelic sites.
d) Bug fix: read alignment wasn't being computed correctly if, a) we were at an insertion, b) read started right at the insertion, c) read CIGAR didn't include insertion - more of these corner conditions are lurking, so a revamped computation of how reads align to candidate haplotypes is in the works.
e) Add debug option not to use prior haplotype likelihoods.
f) Don't hard-code NA12878 for genotyping, now sample name is a required input argument.
g) Bug fix: if there are no reads covering a candidate indel event, just output NO_CALL (didn't notice this in HiSeq, but in P1 data it happens all the time). I need to add a confidence threshold for calling later on.
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in the reference. Reset routine is not accessible to any class outside
GenomeLocParser's package.
We'll have to do something more intelligent with this when the GATK goes
distributed.
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- Add a simple calculation model for Pr(R|H) that doesn't rely on Dindel's HMM model. MUCH faster, at a cost of slightly worse performance since we're more sensitive to bad reads coming from sequencing artifacts (add -simple to command line to activate).
- Add debug option to calculation model so that we can optionally output useful info on current read being evaluated. (add -debugout to commandline).
- Small performance improvement: instead of evaluating haplotype to the right of indel (just with a 5 base addition to the left), it seems better to center the indel and to add context evenly around event.
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depristo
rpoplin
carneiro
kshakir
ebanks
kiran
fromer
hanna
delangel
asivache
aaron
bthomas
chartl