pieces of core that depend on playground. Most of these have been eliminated by
(temporarily) promoting Aaron's report system to core in this checkin. I'll
follow up with other changes in separately.
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*** Three integration tests had to change: ***
RecalibarationWalkersIntegrationTest:
One of the tests was using the interval as the snp track, and wasn't supplying a DbSNP track (for CountCovariates)
SequenomValidationConverterIntegrationTest:
relies on Plink ROD which we've removed.
PileupWalkerIntegrationTest:
we no longer have implicit interval tracks, so there isn't a rod name over the specified region. Otherwise the same result.
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This object designed to be both the structure that holds data during the execution of the walker, as well as the object that properly formats and emits the data so that it can be easily loaded into R. In the end, you get a table that looks like this:
##:GATKReport.v0.1 ErrorRatePerCycle : The error rate per sequenced position in the reads
cycle errorrate.61PA8.7 qualavg.61PA8.7
0 0.007451835696110506 25.474613284804366
1 0.002362777171937477 29.844949954504095
2 9.087604507451836E-4 32.87590975254731
3 5.452562704471102E-4 34.498999090081895
4 9.087604507451836E-4 35.14831665150137
5 5.452562704471102E-4 36.07223435225619
6 5.452562704471102E-4 36.1217248908297
7 5.452562704471102E-4 36.1910480349345
8 5.452562704471102E-4 36.00345705967977
...
A GATKReport object can hold multiple tables, and the write() method will emit all tables in succession. Each table starts with its own ##:GATKReport.v0.1 table header, so each table can stand alone. This allows for tables to be mixed and matched in a single file, or for the output from different walkers to be combined into a single file with no ill effect.
The display property of individual columns can be turned off. This is useful when a column is used to store intermediate results, necesary for the computation of some later value, but the contents of the intermediate column itself are not required in the final output file.
Finally, the GATKReportTable allows for some simple, mathematical, element-wise and column-wise operations. For instance, two whole columns can be divided, the results of the operation being stored in a third column. This mimics the most basic of R operations, where whole vectors can be added, subtracted, multiplied or divided without requiring the developer to explicitly write a loop.
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2. Fixing logic for min Qscore calculation
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unicode quote characters embedded in it. These characters were invisible inside
IntelliJ but cause compile warnings for Ryan and Aaron, who for whatever reason
have a different default charset. Fixed.
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specified with the reportType command line option in VE2.
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Moved piecemealannotator and secondarybases to archive.
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Now, all output is generalized and all of the intelligence lies where it is supposed to.
Next stage is syncing up old and new models and making sure we're outputting exactly what we should.
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Some things still need to be changed, but it will entail some more design decisions first (which means I get to bug M&A again tomorrow!).
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@ Pooled utils & power
- Removed two of the power walkers leaving only PowerBelowFrequency, added some additional
flags on PowerBelowFrequency to give it some of the behavior that PowerAndCoverage had
- Removed a number of PoolUtils variables and methods that were used in those walkers or simply
not used
- Removed AnalyzePowerWalker (un-necessary)
- Changed the location of Quad/Squad/ReadOffsetQuad into poolseq
@NQS
- Deleted all walkers but the minimum NQS walker, refactored not to use LocalMapType
@ BaseTransitionTable
- Added a slew of new integration tests for different flaggable and integral parameters
- (Scala) just a System.out that was added and commented out (no actual code change)
- (Java) changed a < to <= and a boolean formula
Chris
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@PoolUtils - split reads by indel/simple base
@BaseTransitionTable - complete refactoring, nicer now
@UnifiedArgumentCollection - added PoolSize as an argument
@UnifiedGenotyper - checks to ensure pooled sequencing uses the appropriate model
@GenotypeCalculationModel - instantiates with the new PoolSize argument
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We need to filter contexts in that case since the calling walkers don't get UG's traversal-level filters.
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Iterates synchronously over two (name-ordered) single-end alignment SAM files with, possibly, multiple alignments per read and for each read name encountered returns pairs<all alignments for end1, all alignments for end2>
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but mostly altering the code so it's much more readable and understandable, and much less hacky-looking.
ADDED:
@Quad: This is just like Pair, except with four fields. In the original CoverageAndPowerWalker I often used
a pair of pairs to hold things, which made the code nigh unreadable.
@SQuad: An extension of Quad for when you want to store objects of the same type. Let's you simply declare
new SQuad<X> rather than new Quad<X,X,X,X>
@ReadOffsetQuad: An extension of Quad specifically for holding two lists of reads and two lists of offsets
Supports construction from AlignmentContexts and conversion to AlignmentContexts (given
a GenomeLoc). There are methods that make it very clear what the code is doing (getSecondRead()
rather than the cryptic getThird() )
@PowerAndCoverageWalker: The new version of CoverageAndPowerWalker. If the tests all go well, then I'll remove
the old version. New to this version is the ability to give an output file directly
to the walker, so that locus information prints to the file, while the final reduce
prints to standard out. Bootstrap iterations are now a command line argument rather
than a final int; and users can instruct the walker to print out the coverage/power
statistics for both the original reads, and those reads whose quality score exceeds
a user-defined threshold.
CHANGES:
@PoolUtils: Altered methods to accept as argumetns, and return, Quad objects. Added a random partition method
for bootstrapping.
@CoverageAndPowerWalker: Altered methods to work with the new PoolUtils methods.
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Doesn't work yet; same command I used to use now causes GATK to throw an exception.
Will check with Matt & Aaron tomorrow, then do a regression test.
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hanna
aaron
depristo
kiran
ebanks
chartl
kshakir
asivache
jmaguire