GATK-73 updated docs for bqsr args
GATK-9 differentiate CountRODs from CountRODsByRef
GATK-76 generate GATKDoc for CatVariants
GATK-4 made resource arg required
GATK-10 added -o, some docs to CountMales; some docs to CountLoci
GATK-11 fixed by MC's -o change; straightened out the docs.
GATK-77 fixed references to wiki
GATK-76 Added Ami's doc block
GATK-14 Added note that these annotations can only be used with VariantAnnotator
GATK-15 specified required=false for two arguments
GATK-23 Added documentation block
GATK-33 Added documentation
GATK-34 Added documentation
GATK-32 Corrected arg name and docstring in DiffObjects
GATK-32 Added note to DO doc about reference (required but unused)
GATK-29 Added doc block to CountIntervals
GATK-31 Added @Output PrintStream to enable -o
GATK-35 Touched up docs
GATK-36 Touched up docs, specified verbosity is optional
GATK-60 Corrected GContent annot module location in gatkdocs
GATK-68 touched up docs and arg docstrings
GATK-16 Added note of caution about calling RODRequiringAnnotations as a group
GATK-61 Added run requirements (num samples, min genotype quality)
Tweaked template and generic doc block formatting (h2 to h3 titles)
GATK-62 Added a caveat to HR annot
Made experimental annotation hidden
GATK-75 Added setup info regarding BWA
GATK-22 Clarified some argument requirements
GATK-48 Clarified -G doc comments
GATK-67 Added arg requirement
GATK-58 Added annotation and usage docs
GSATDG-96 Corrected doc
Updated MD5 for DiffObjectsIntegrationTests (only change is link in table title)
* Allow RR to write its BAM to stdout by setting required=true for @Output.
* Fixed bug in sliding window where a break in coverage after a long stretch without
a variant region was causing a doubling of all the reads before the break.
* Refactored SlidingWindow.updateHeaderCounts() into 3 separate tested methods.
* Refactored polyploid consensus code out of SlidingWindow.compressVariantRegion().
Ancient DNA sequencing data is in many ways different from modern data, and methods to analyze it need to be adapted accordingly.
Feature 1: Read adaptor trimming. Ancient DNA libraries typically have very short inserts (in the order of 50 bp), so typical Illumina libraries sequenced in, say, 100bp HiSeq will have a large adaptor component being read after the insert.
If this adaptor is not removed, data will not be aligneable. There are third party tools that remove adaptor and potentially merge read pairs, but are cumbersome to use and require precise knowledge of the library construction and adaptor sequence.
-- New walker ReadAdaptorTrimmer walks through paired end data, computes pair overlap and trims auto-detected adaptor sequence.
-- Unit tests added for trimming operation.
-- Utility walker (may be retired later) DetailedReadLengthDistribution computes insert size or read length distribution stratified by read group and mapping status and outputs a GATKReport with data.
-- Renamed MaxReadLengthFilter to ReadLengthFilter and added ability to specify minimum read length as a filter (may be useful if, as a consequence of adaptor trimming, we're left with a lot of very short reads which will map poorly and will just clutter output BAMs).
Feature 2: Unbiased site QUAL estimation: many times ancestral allele status is not known and VCF fields like QUAL, QD, GQ, etc. are affected by the pop. gen. prior at a site. This might introduce subtle biases in studies where a species is aligned against the reference of another species, so an option for UG and HC not to apply such prior is introduced.
-- Added -noPrior argument to StandardCallerArgumentCollection.
-- Added option not to fill priors is such argument is set.
-- Added an integration test.
- This was needed since samples with spaces in their names are regularly found in the picard pipeline.
- Modified the tests to account for this (removed spaces from the good tests, and changed the failing tests accordingly)
- Cleaned up the unit tests using a @DataProvider (I'm in love...).
- Moved AlleleBiasedDownsamplingUtilsUnitTest to public to match location of class it is testing (due to the way bamboo operates)
* ReadTransformers can say they must be first, must be last, or don't care.
* By default, none of the existing ones care about ordering except BQSR (must be first).
* This addresses a bug reported on the forum where BAQ is incorrectly applied before BQSR.
* The engine now orders the read transformers up front before applying iterators.
* The engine checks for enabled RTs that are not compatible (e.g. both must be first) and blows up (gracefully).
* Added unit tests.
-- The new code includes a new mode to write out a BAM containing reads realigned to the called haplotypes from the HC, which can be easily visualized in IGV.
-- Previous functionality maintained, with bug fixes
-- Haplotype BAM writing code now lives in utils
-- Created a base class that includes most of the functionality of writing reads realigned to haplotypes onto haplotypes.
-- Created two subclasses, one that writes all haplotypes (previous functionality) and a CalledHaplotypeBAMWriter that will only write reads aligned to the actually called haplotypes
-- Extended PerReadAlleleLikelihoodMap.getMostLikelyAllele to optionally restrict set of alleles to consider best
-- Massive increase in unit tests in AlignmentUtils, along with several new powerful functions for manipulating cigars
-- Fix bug in SWPairwiseAlignment that produces cigar elements with 0 size, and are now fixed with consolidateCigar in AlignmentUtils
-- HaplotypeCaller now tracks the called haplotypes in the GenotypingEngine, and returns this information to the HC for use in visualization.
-- Added extensive docs to HaplotypeCaller on how to use this capability
-- BUGFIX -- don't modify the read bases in GATKSAMRecord in LikelihoodCalculationEngine in the HC
-- Cleaned up SWPairwiseAlignment. Refactored out the big main and supplementary static methods. Added a unit test with a bug TODO to fix what seems to be an edge case bug in SW
-- Integration test to make sure we can actually write a BAM for each mode. This test only ensures that the code runs and doesn't exception out. It doesn't actually enforce any MD5s
-- HaplotypeBAMWriter also left aligns indels in the reads, as SW can return a random placement of a read against the haplotype. Calls leftAlign to make the alignments more clear, with unit test of real read to cover this case
-- Writes out haplotypes for both all haplotype and called haplotype mode
-- Haplotype writers now get the active region call, regardless of whether an actual call was made. Only emitting called haplotypes is moved down to CalledHaplotypeBAMWriter
This is to facilitate the current experiment with class-level test
suite parallelism. It's our hope that with these changes, we can get
the runtime of the integration test suite down to 20 minutes or so.
-UnifiedGenotyper tests: these divided nicely into logical categories
that also happened to distribute the runtime fairly evenly
-UnifiedGenotyperPloidy: these had to be divided arbitrarily into two
classes in order to halve the runtime
-HaplotypeCaller: turns out that the tests for complex and symbolic
variants make up half the runtime here, so merely moving these into
a separate class was sufficient
-BiasedDownsampling: most of these tests use excessively large intervals
that likely can't be reduced without defeating the goals of the tests. I'm
disabling these tests for now until they can either be redesigned to use smaller
intervals around the variants of interest, or refactored into unit tests
(creating a JIRA for Yossi for this task)
* Removed from codebase NestedHashMap since it is unused and untested.
* Integration tests change because the BQSR CSV is now sorted automatically.
* Resolves GSA-732
-replace unnecessary uses of the UnifiedGenotyper by public integration tests
with PrintReads
-move NanoSchedulerIntegrationTest to protected, since it's completely dependent
on the UnifiedGenotyper
-was previously set to 30, which seems far too aggressive given that with
ActiveRegionWalkers, as with LocusWalkers, this limits the depth of any
pileup returned by LIBS
-250 is a more conservative default used by the UG
-can adjust down/up later based on further experiments (GSA-699 will
remain open)
-verified with Ryan that all integration test differences are either
innocent or represent an improvement
GSA-699
The issue here is that the OptimizedLikelihoodTestProvider uses the same basic underlying class as the
BasicLikelihoodTestProvider and we were using the BasicTestProvider functionality to pull out tests of
that class; so if the optimized tests were run first we were unintentionally running those same tests
again with the basic ones (but expecting different results).
-- This is done to take advantage of longer reads which can produce less ambiguous haplotypes
-- Integration tests change for HC and BiasedDownsampling
-- Instead of doing a full SW alignment against the reference we read off bubbles from the assembly graph.
-- Smith-Waterman is run only on the base composition of the bubbles which drastically reduces runtime.
-- Refactoring graph functions into a new DeBruijnAssemblyGraph class.
-- Bug fix in path.getBases().
-- Adding validation code to the assembly engine.
-- Renaming SimpleDeBruijnAssembler to match the naming of the new Assembly graph class.
-- Adding bug fixes, docs and unit tests for DeBruijnAssemblyGraph and KBestPaths classes.
-- Added ability to ignore bubbles that are too divergent from the reference
-- Max kmer can't be bigger than the extension size.
-- Reverse the order that we create the assembly graphs so that the bigger kmers are used first.
-- New algorithm for determining unassembled insertions based on the bubble traversal instead of the full SW alignment.
-- Don't need the full read span reference loc for anything any more now that we clip down to the extended loc for both assembly and likelihood evaluation.
-- Updating HaplotypeCaller and BiasedDownsampling integration tests.
-- Rebased everything into one commit as requested by Eric
-- improvements to the bubble traversal are coming as a separate push
These 2 changes improve runtime performance almost as much as Ryan's previous attempt (with ID-based comparisons):
* Don't unnecessarily overload Allele.getBases() in the Haplotype class.
* Haplotype.getBases() was calling clone() on the byte array.
* Added a constructor to Allele (and Haplotype) that takes in an Allele as input.
* It makes a copy of he given allele without having to go through the validation of the bases (since the Allele has already been validated).
* Rev'ed the variant jar accordingly.
For the reviewer: all tests passed before rebasing, so this should be good to go as far as correctness.
-- modified ReadBin GenomeLoc to keep track of softStart() and softEnd() of the reads coming in, to make sure the reference will always be sufficient even if we want to use the soft-clipped bases
-- changed the verification from readLength to aligned bases to allow reads with soft-clipped bases
-- switched TreeSet -> PriorityQueue in the ConstrainedMateFixer as some different reads can be considered equal by picard's SAMRecordCoordinateComparator (the Set was replacing them)
-- pulled out ReadBin class so it can be testable
-- added unit tests for ReadBin with soft-clips
-- added tests for getMismatchCount (AlignmentUtils) to make sure it works with soft-clipped reads
GSA-774 #resolve
-- Active regions are created as normal, but they are split and trimmed to the engine intervals when added to the traversal, if there are intervals present.
-- UnitTests for ActiveRegion.splitAndTrimToIntervals
-- GenomeLocSortedSet.getOverlapping uses binary search to efficiently in ~ log N time find overlapping intervals
-- UnitTesting overlap function in GenomeLocSortedSet
-- Discovered fundamental implementation bug in that adding genome locs out of order (elements on 20 then on 19) produces an invalid GenomeLocSortedSet. Created a JIRA to address this: https://jira.broadinstitute.org/browse/GSA-775
-- Constructor that takes a collection of genome locs now sorts its input and merges overlapping intervals
-- Added docs for the constructors in GLSS
-- Update HaplotypeCaller MD5s, which change because ActiveRegions are now restricted to the engine intervals, which changes slightly the regions in the tests and so the reads in the regions, and thus the md5s
-- GenomeAnalysisEngineUnitTest needs to provide non-null genome loc parser
-- Increase the allowed runtime of one UG integration test
-- The GGA indels mode runs two UG commands, and was barely under the 10 minute limit before. Some updates can push this right over the edge. Increased limit
-- CalibrateGenotypeLikelihoods runs on a small data set now, so it's faster
-- Updating MD5s due to more correct quality utils. DuplicatesWalkers quality estimates have changed. One UG test has different FS and rank sum tests because the conversion to phred scores are slightly (second decimal place) different
-- The UG was using MathUtils binomial probability backward, so that the estimated confidence was always NaN, and was as a side effect other utils converted this to a meaningless 0.0. This is all because there wasn't a unit test.
-- I've fixed the calculation, so it's now log10 based, uses robust MathUtils and QualityUtils functions to compute probabilities, and added a unit test.
MauricioCarneiro
Geraldine Van der Auwera
Eric Banks
Ryan Poplin
Guillermo del Angel
Yossi Farjoun
Mark DePristo
David Roazen
Alec Wysoker