Add SVStratify and GroupedSVCluster tools #8990
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This is a combination of 2 commits. Implement SVStratify Interchrom events Start unit tests Finish unit tests Multiple contexts per stratum Integration tests; fix empty context bug Test duplicate context name Handle CPX/CTX, add some tests Compiler error Prioritize SR and PE evidence types for representative breakpoint strategy Add SVStratifiedCluster Integration tests for SVStratifiedClustering Unused line Spooled sorting in cluster tools Start fixing JointGCNVSegmentation Fix JointGCNVSegmentation integration test Rename to GroupedSVCluster Fix sorting bug Comment Use RD_CN for CNV sample overlap; improve testing Documentation Add comment about requiresOverlapAndProximity Allow empty EVIDENCE list Add STRAT INFO field Representative breakpoint by variant quality Handle BOTHSIDES_SUPPORT and HIGH_SR_BACKGROUND in variant collapsing Add expected exception
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Implements two new tools and updates some methods for a revamp of the
CombineBatchescross-batch integration module in gatk-sv.SVStratify- tool for splitting out a VCF by variant class. Users pass in a configuration table (see tool documentation for an example) specifying one or more stratification groups classified by SVTYPE, SVLEN range, and reference context(s). The latter are specified as a set of interval lists using--context-nameand--context-intervalsarguments. All variants are matched with their respective group which is annotated in theSTRATINFO field. Optionally, the output can be split into multiple VCFs by group, which is a very useful functionality that currently can't be done efficiently with common commands/toolkits.GroupedSVCluster- a hybrid tool combining functionality fromSVStratifywithSVClusterto perform intra-stratum clustering. This tool is critical for fine-tuned clustering of specific variants types within certain reference contexts. For example, small variants in simple repeats tend to have lower breakpoint accuracy and are typically "reclustered" during call set refinement with looser clustering criteria.SVStratificationEngine- new class for performing stratification.CanonicalSVCollapserthat should improve breakpoint accuracy, particularly in larger call sets. Raw evidence support and variant quality are now considered when choosing a representative breakpoint for a group of clustered SVs.FlagFieldLogictype for customizing howBOTHSIDE_PASSandHIGH_SR_BACKGROUNDINFO flags are collapsed during clustering.RD_CNis now used as a backup ifCNis not available when determining carrier status for sample overlap.