In the case where there's a low quality SNP under a spanning deletion in the gvcfs:
if the SNP is not genotyped by GenotypeGVCFs (because it's just noise) we were still
emitting a record with just the symbolic DEL allele (because that allele is high quality).
We no longer do that.
Previously, if a SNP occurred in sample A at a position that was in the middle of a deletion for sample B,
sample B would be genotyped as homozygous reference there (but it's NOT reference - there's a deletion).
Now, sample B is genotyped as having a symbolic DEL allele.
Minor cleanup added. Note that I also removed Laura's previous fix for this problem.
Existing integration tests change because I've added a new header line to the VCF being output.
I also added several tests for the new functionality showing:
1. genotyping from separate and already combined gvcfs give the same output
2. genotyping over multiple spanning deletions works
3. combining works too
Existing unit tests also cover this case.
New unit test for deprecated mergeVariantsViaLD
Update HaplotypeCallerIntegrationTest.java
Delete duplicate testHaplotypeCallerMergeVariantsViaLDException test.
Exclude MQ0BySample
Move SD and TRA to new StandardUGAnnotation interface
There is now annotation interface (StandardUGAnnotation) holding annots that are standard in UG but should't be used as they are now with HC. This allows us to not have to exclude these annotations explicitly in HC, but still be able to use them for development purposes.
Fairly minor if plentiful fixes to various gatkdocs. Merging this without formal review since all tests pass, the gatkdocs build, and no one really wants to review corrections to grammar, typos and layout for 120+ documents. Review will be done by users in production ;-)
fix blasted license blurbs
updates based on PR comments (abstractify HaplotypeCallerArgumentCollection into AssemblyBasedCallerArgumentCollection)
comments on comments from PR review
Build a ReferenceContext in ActiveRegionWalkers to pass in to annotation engine so we can call the TandemRepeatAnnotator from M2
Make TandemRepeatAnnotator default annotation for M2.
Setup (but don't use yet) HC-style contamination downsampling.
New HC integration test with TandemRepeatAnnotator
- ASEReadCounter (public tool) replce Tuuli's script to produce the input to Manny's tool.
It count the number of reads that support the ref allele and the alt allele, filtereing low qual reads and bases and keep only properPaired reads
- ASECaller (private tool) take both RNA and DNA, and produce ontingencyTables ** still under development **
minor changes in other tools:
- update RNA HC variant calling scala script
- expose FS method pValueForContingencyTable to be able to call it from ASEcaller
In ASEReadCounter:
- allow different option to deal with overlaping read from the same fragment
- add option to ignore or include indels in the pileups
- add option to disabled DuplicateRead
add ASEReadCounterIntegrationTest.java and files for the test
fixed NPE when normal contains no reads
first integration test (micro) and unit tests, also rename of MuTectHC -> M2
adding in standard GATK license terms
incorporated HOSTILE mode to PCR Error Correction
removed tumor and normal name parameters and cleaned up internal name handling
changes to allow for calling without a matched normal (technically, not true 'tumor-only' calling). Used for panel-of-normals creation
additional regression tests, based on DREAM data. Removed accidental addition of TandemRepeatAnnotator to default annotations
updated MD5 based on run from GSA4 to fix bamboo issue
reverted unneeded visibility changes
Now, instead of stripping out the GQs for mono sites, we transfer them to the RGQ.
This is extremely useful for people who want to know how confident the hom ref genotype calls are.
Perhaps this is just what CRSP needs for pertinent negatives.
Note that I also changed the tool to no longer use the GenotypeSummaries annotation by default since
it was adding some seemingly unnecessary annotations (like mean GQ now that we keep the GQ around and
number of no-calls). Let me know if this was a mistake (although Laura gave me a thumbs up).
Using --breakBandsAtMultiplesOf N will ensure that no reference blocks span across
genomic positions that are multiples of N. This is especially important in the
case of scatter-gather where you don't want your scatter intervals to start in the
middle of blocks (because of a limitation in the way -L works in the GATK for VCF
records with the END tag).
For example, running with --breakBandsAtMultiplesOf 5 on this record:
1 69491 . G <NON_REF> . . END=69523 GT:DP:GQ:MIN_DP:MIN_GQ:PL ./.:94:99:82:99:0,120,1800
Will produce the following records:
1 69491 . G <NON_REF> . . END=69494 GT:DP:GQ:MIN_DP:MIN_GQ:PL ./.:94:99:82:99:0,120,1800
1 69495 . C <NON_REF> . . END=69499 GT:DP:GQ:MIN_DP:MIN_GQ:PL ./.:94:99:82:99:0,120,1800
1 69500 . T <NON_REF> . . END=69504 GT:DP:GQ:MIN_DP:MIN_GQ:PL ./.:94:99:82:99:0,120,1800
etc.
Added docs and a new test.
GenotypeGVCFs now has the ability to unique-ify samples so I can genotype together two different datasets containing the same sample
Modify InbreedingCoeff so that it works when genotyping uniquified samples
* The value of this element (default true) determines whether Queue will explicitly run this walker over unmapped reads
* This patch fixes a runtime error when FindCoveredIntervals was used with Queue
* PT 81777160
* TextCigarCodec.decode() is now static, and the getSingleton() method is gone
* MergingSamRecordIterator now wants a Collection<SamReader> rather than Collection<SAMFileReader> in the constructor
* SeekableBufferedStream now correctly reads the requested number of bytes, removed workaround in GATKBAMIndex
* Removed unused annotations (CCC and HWP)
* Renamed one of the two GC annotations to "IGC" (for Interval GC)
* Revved picard & htsjdk (GATK constants are now removed from htsjdk)
* PT 82046038
Geraldine Van der Auwera
Eric Banks
Ron Levine
Joseph White
Laura Gauthier
Kristian Cibulskis
Yossi Farjoun
Phillip Dexheimer
Ami Levy-Moonshine
Valentin Ruano Rubio
rpoplin
Khalid Shakir