The base qualities of a consensus reads are now the average quality of the bases forming the consensus base (most common base) and the consensus quality tag now carry an array with the counts of each base in the consensus. This should increase file size but improve calling sensitivity/specificity.
* Includes tests that include HardClip to Read and Reference Coords.
* Changed ReadUtils.HardClipByReferenceCoordinates from private to protected to allow for testing
when hard clipping the right tail of a read falls inside a deletion, clipping should fall back to the last base before the deletion to follow the ReadClipper's contract.
* RR will now compress reads that span across multiple intervals correctly and output them in the correct order.
* Fixed bug in getReadCoordinateForReferenceCoordinate where if the requested reference coordinate fell inside a deletion in the read the read would be clipped up to one element past the deletion.
-- resulted in massive code cleanup
-- GdA will integrate his new banded algorithm here
-- Removed: DO_CONTEXT_DEPENDENT_PENALTIES, GET_GAP_PENALTIES_FROM_DATA, INDEL_RECAL_FILE, dovit, GSA_PRODUCTION_ONLY
-- UnitTests for key functions on reduced reads
-- PileupElement calls static functions in ReadUtils
-- Simple routine that takes a reduced read and fills in its quals with its reduced qual
b) Change md5 to reflect records that are now merged correctly.
c) Change unit merge alleles test to reflect the fact that a null non-variant vc object is not valid and not supported because there's no way to codify such object in a vcf. The code correctly converts this to a non-variant single-base event with whatever the reference is at that location.
With the current implementation, a read cannot start with a deletion or an insertion. Maybe this will change in the future, but for now, chop the leading insertion off.
b) First reimplementation of new vc merger of different types. Previous version did it in two steps, first merging all vc's per type and then trying to see if resulting vc's would be merged if alleles of one type were a subset of another, but this won't work when uniquifying genotypes since sample names would be messed up and GT sample names wouldn't match VC sample names. Now, it's actually simpler: when splitting vc's by type before merging, we check for alleles of one vc being a subset of alleles of vc of another type and if so we put them together in same list.
Mauricio Carneiro
Roger Zurawicki
Matt Hanna
Guillermo del Angel
Ryan Poplin
Eric Banks
Mark DePristo
Khalid Shakir