In the process of realignment we add +10 to the MQ of each realigned read, breaking the MQ 60 cap. That may contribute to problems observed by Bertrand (a step in the ROC curve plot of the VQSR results)
- 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
Make sure -allSites outputs TPs that have discordance genotypes (although we won't know they're discordant)
Make AssessNA12878 output report record the name of the VCF from which the assessment was derived
Ron Levine
Geraldine Van der Auwera
Ami Levy-Moonshine
Phillip Dexheimer
Kristian Cibulskis
Eric Banks
ldgauthier
Mark Fleharty
biocyberman
Valentin Ruano Rubio
jmthibault79
rpoplin