-- We no longer use QUAL because it scales insidiously with AC.
-- By default we exclude sites in which NA12878 is polymorphic to prevent overfitting to the knowledgebase.
-- Tweaks to training parameters were required because of the QUAL change.
-- We now test for model convergence instead of specifying the number of iterations at the command line.
-Only works with single-sample vcfs
-As with bams, the user must provide a file mapping the absolute path to
each vcf whose samples are to be renamed to the new sample name for that
vcf. The argument is the same as for bams: --sample_rename_mapping_file,
and the mapping file may contain a mix of bam and vcf files should the
user wish.
-It's an error to attempt to remap the sample names of a multi-sample
or sites-only vcf
-Implemented at the codec level at the instant the vcf header is first
read in to minimize the chances of downstream code examining vcf
headers/records before renaming occurs.
-Integration tests are in sting, unit tests are in picard
-Rev picard et. al. to 1.111.1902
Following reviewers comments the command line interface has been simplified.
All extra strict validations are performed by default (as before) and the
user has to indicate which one he/she does not want to use with --validationTypeToExclude.
Before he/she was able to indicate the only ones to apply with --validationType but that has been scrapped out.
Stories:
- https://www.pivotaltracker.com/story/show/68725164
Changes:
- Removed validateType argument.
- Improved documentation.
- Added some warnning log message on suspicious argument combinations.
Tests:
- ValidateVariantsIntegrationTest#*
-- This results in much more consistent distribution of LOD scores for SNPs and Indels.
-- Removing genotype summary stats since they are now produced by default.
-- Added functionality to specify certain subsets of the training data to be used in Tranche file generation, -good:tranche=true set.vcf
-- This is needed so the ref model pipeline can cut down to sites-only files without losing these useful statistics.
-- Added new unit test to test this info field annotation.
-- GenotypeGVCF integration tests change because new annotations are present in the output
More concretelly Picard's strict VCF validation does not like that there is alternative alleles that are not participating in any genotype call across samples.
This is an issue with GVCF in the single-sample pipeline where this is certainly expected with <NON_REF> and other relative unlikely alleles.
To solve this issue we allow the user to exclude some of the strict validations using a new argument --validationTypeToExclude. In order to avoid the validation
issue with GVCF the user needs to add the following to the command line: '--validationTypeToExclude ALLELES'
Story:
https://www.pivotaltracker.com/story/show/68725164
Changes:
- Added validateTypeToExclude argument to ValidateVariants walker.
- Implemented the selective exclusion of validation types.
- Added new info and improved existing documentation of the ValidateVariants walker.
Tests:
- ValidateVariantsIntegrationTest#testUnusedAlleleError
- ValidateVariantsIntegrationTest#testUnusedAlleleFix
In some cases, the program records were being removed from the BAM headers by the GATK engine
before we applied the check for reduced reads (so we did not fail appropriately). Pushed up the
check to happen before the PG tags are modified and added a unit test to ensure it stays that way.
It turns out that some UG tests still used reduced bams so I switched to use different ones.
Based on reviewer feedback, made it more generic so that it's easy to add new unsupported tools.
Previously it required you to create a single sample VCF and then to pass that in to the tool, but
Geraldine convinced me that this was a pain for users (because they usually have multi-sample VCFs).
Instead now you can pass in a multi-sample VCF and specify which sample's genotypes should be used
for the IUPAC encoding. Therefore the argument changed from '--useIUPAC' to '--use_IUPAC_sample NA12878'.
Stories:
https://www.pivotaltracker.com/story/show/66263868
Bug:
The problem was due to the way we were calculating the fix penalty of a large deletion or insertion. In this case we calculate the alignment likelihood of the portion
or read or haplotype deletion as the penalty of that deletion/insertion without going through the full pair-hmm process. For large events this resulted in a 0 in
in linear scale computations that ins transformed into an infinity in log scale.
Changes:
- Change to use log10 scale for calculate those penalties.
- Minor addition of .gitignore to hide ./public/external-example/target which is generated by the building process.
Khalid Shakir
Ryan Poplin
kshakir
Eric Banks
droazen
Ami Levy-Moonshine
jmthibault79
Valentin Ruano-Rubio
MauricioCarneiro
Laura Gauthier
Geraldine Van der Auwera