QuickCCTest is my test script for the gatherer.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5547 348d0f76-0448-11de-a6fe-93d51630548a
MDP: Removed ApplyVariantCut as it's no longer necessary with VQSR2.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5534 348d0f76-0448-11de-a6fe-93d51630548a
JavaCommandLineFunctions can now specify the classpath+mainclass as an alternative to specifying a path to an executable jar.
JCLF by default pass on the current classpath and only require the mainclass be specified by the developer extending the JCLF, relieving the QScript author from having to explicitly specify the jar.
Like the Picard MergeSamFiles, GATK engine by default is now run from the current classpath. The GATK can still be overridden via .jarFile or .javaClasspath.
Walkers from the GATK package are now also embedded into the Queue package.
Updated AnalyzeCovariates to make it easier to guess the main class, AnalyzeCovariates instead of AnalyzeCovariatesCLP.
Removed the GATK jar argument from the example QScripts.
Removed one of the most FAQ when getting started with Scala/Queue, the use of Option[_] in QScripts:
1) Fixed mistaken assumption with java enums. In java enums can be null so they don't need nullable wrappers.
2) Added syntactic sugar for Nullable primitives to the QScript trait. Any variable defined as Option[Int] can just be assigned an Int value or None, ex: myFunc.memoryLimit = 3
Removed other unused code.
Re-fixed dry run function ordering.
Re-ordered the QCommandline companion object so that IntelliJ doesn't complain about missing main methods.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5504 348d0f76-0448-11de-a6fe-93d51630548a
- now it differentiates between confident REF calls and not confident calls.
- you can now use a BAM file as the truth set.
- output is much clearer now
dataProcessingPipeline version 2, ready to be used.
- All the processing is now done at the sample level
- Reads the input bam file headers to combine all lanes of the same sample.
- Cleaning is now scattered/gathered. Inteligently breaks down in as many intervals as possible, given the dataset.
- Outputs one processed bam file per sample (and a .list file with all processed files listed)
- Much faster, low pass (read Papuans) can run in the hour queue.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5493 348d0f76-0448-11de-a6fe-93d51630548a
Fixed initialization of pending counts when using -startFromScratch so the count doesn't start at zero and end at -<#njobs>.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5483 348d0f76-0448-11de-a6fe-93d51630548a
ProduceBeagleInputWalker can optionally emit a beagle markers file, necessary to use the beagled reference panel for imputation. Also supports the VQSR calibration curve idea that a site can be flagged as a certain FP, based on the VQSLOD field. This allows us to have both continuous quality in the refinement of sites as well as hard filtering at some threshold so we don't end up with lots of sites with all 1/3 1/3 1/3 likelihoods for all samples (i.e., a definite FP site where we don't know anything about the samples).
Added a new VariantsToBeagleUnphased walker that writes out a marker drive hard-call unphased genotypes file suitable for imputating missing genotypes with a reference panel with beagle. Can optionally keep back a fraction of sites, marked as missing in the genotypes file, for assessment of imputation accuracy and power. The bootstrap sites can be written to a separate VCF for assessment as well.
Finally, my general Queue script for creating and evaluating reference panels from VCF files. Supports explicitly genotyping a BAM file at each panel SNP site, for assessment of imputation accuracy of a reference panel. Lots of options for exploring the impact of the VQS likelihooods, multiple VCFs for constructing the reference panel, as well as fraction of sites left out in assessing the panel's power.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5467 348d0f76-0448-11de-a6fe-93d51630548a
Also, created a standard Queue script that calculates a suite of standard indel and SNP assessment results. Will be the basis for a general evaluation Queue script with standardized data files for SNPs and Indels.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5385 348d0f76-0448-11de-a6fe-93d51630548a
- RefMetaDataTracker: grabbing variant contexts given a prefix (not sure where else this was implemented, if someone can show me I'll remove it)
- VCFUtils: grabbing VCF headers given a prefix
- MathUtils: Useful functions for calculating statistics on collections of Numbers
- VariantAnnotator: Made isUniqueHeaderLine a public static method -- maybe this should go into a different class. Not sure.
- Associations: PluginManager now used to propagate classes, implementations for Z,T,U tests, slight alteration to format to make the objects stored
in the window optionally different from those returned by whatever statistic is run across the window
Added:
- MannWhitneyU. Started to fix up WilcoxonRankSum but there are comments in there questioning the validity of some of the code, and I'm sure that
it's actually doing a U test. This implementation includes the direct calculation of p-values for small sample sizes, and a uniform approximation
for when one of the sample sets is small, and the other large. Unit tests to follow.
- BootstrapCallsMerger: takes n VCFs which have been called on the same samples; merges them together while averaging the annotations
- BootstrapCalls.q: qscript for testing the effectiveness of boostrap low-pass calling on the exome
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5372 348d0f76-0448-11de-a6fe-93d51630548a
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