-- SamFileReader.java:525
-- BlockCompressedInputStream:376
These were both instances were we weren't catching and rethrowing picard exceptions as UserExceptions.
- refactored the statistics classes
- concurrent callable statuses by sample are now available.
Signed-off-by: Mauricio Carneiro <carneiro@broadinstitute.org>
* Added parameter -qq to quantize qualities using a recalibration report
* Added options to quantize using the recalibration report quantization levels, new nLevels and no quantization.
* Updated BQSR scripts to make use of the new parameters
-- Now includes one bp and tandem duplication stratifications by default. The indel QC process is getting much better now.
-- Lots of refactoring to make the plots cleaner and easy to digest
-- Now calculates the number of Indels overlapping gold standard sites, as well as the percent of indels overlapping gold standard sites
-- Removed insertion : deletion ratio for 1 bp event, replaced it with 1 + 2 : 3 bp ratio for insertions and deletions separately. This is based on an old email from Mark Daly:
// - Since 1 & 2 bp insertions and 1 & 2 bp deletions are equally likely to cause a
// downstream frameshift, if we make the simplifying assumptions that 3 bp ins
// and 3bp del (adding/subtracting 1 AA in general) are roughly comparably
// selected against, we should see a consistent 1+2 : 3 bp ratio for insertions
// as for deletions, and certainly would expect consistency between in/dels that
// multiple methods find and in/dels that are unique to one method (since deletions
// are more common and the artifacts differ, it is probably worth looking at the totals,
// overlaps and ratios for insertions and deletions separately in the methods
// comparison and in this case don't even need to make the simplifying in = del functional assumption
-- Added a new VEW argument to bind a gold standard track
-- Added two new stratifications: OneBPIndel and TandemRepeat which do exactly what you imagine they do
-- Deleted random unused functions in IndelUtils
Returns true iff VC is an non-complex indel where every allele represents an expansion or
contraction of a series of identical bases in the reference.
The logic of this function is pretty simple. Take all of the non-null alleles in VC. For
each insertion allele of n bases, check if that allele matches the next n reference bases.
For each deletion allele of n bases, check if this matches the reference bases at n - 2 n,
as it must necessarily match the first n bases. If this test returns true for all
alleles you are a tandem repeat, otherwise you are not. Note that in this context n is the
base differences between the ref and alt alleles
* fixed the loading of the new reduced size reports
* reduced BQSR scala script memory to 2Gb
* removed dcov parameter from BQSR scala script
* fixed estimatedQReported calculation from -log10(pe) to -10*log10(pe).
* updated md5's with the proper PHRED scaled EstimatedQReported
* fixed bug where some keys were using the same recal datum objects
* fixed quantization qual calculations when combining multiple reports
* fixed rounding error with empirical quality reported when combining reports
* fixed combine routine in the gatk reports due to the primary keys being out of order
* added auto-recalibration option to BQSR scala script
* reduced the size of the recalibration report by ~15%
* updated md5's
-- Fixed indel length histogram to work with new table style
-- Removed unused expectations list
-- by AC plots for indels include log10(n_Indels) as their weight
-- smoothing is now weighted by the log10 count of n_Indels
Guillermo del Angel
David Roazen
Mark DePristo
Ryan Poplin
Roger Zurawicki
Eric Banks
Mauricio Carneiro