2. Adding a preliminary version of the new Genotype/Allele interface (putting it into refdata/ as the VariantContext really only applies to rods) with updates to VariantContext. This is by no means complete - further updates coming tomorrow.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2533 348d0f76-0448-11de-a6fe-93d51630548a
Bad/suspicious bases/reads (high mismatch rate, low MQ, low BQ, bad mates) are now filtered out by default (and not used for the annotations either), although this can all be turned off.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2373 348d0f76-0448-11de-a6fe-93d51630548a
This is basically a wrapper class around AlignmentContext which allows you to stratify a context by e.g. reads on forward vs. reverse strands.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@2312 348d0f76-0448-11de-a6fe-93d51630548a
@CoverageAndPowerWalker - removed a hanging colon that was being printed after the reference position
@VariantEvalWalker - added a command line argument for pool size for eventual use in doing pooled caller evaluations. As now, the variable is unused.
@AlignmentContext - altered the scope of class variables from private to protected in order that child objects might have access to them
New Additions:
Filtered Contexts
Sometimes we want to filter or partition reads by some aspect (quality score, read direction, current base, whatever) and use only those reads as
part of the alignment context. Prior to this I've been doing the split externally and creating a new AlignmentContext object. This new approach makes
it a bit easier, as each of these objects are children of AlignmentContext, and can be instantiated from a "raw" AlignmentContext.
@FilteredAlignmentContext is an abstract class that defines the behavior. The abstract method 'filter' is called on the input AlignmentContext, filtering
those reads and offsets by whatever you can think of. The filtered reads/offsets are then maintained in the reads and offsets fields. These classes can
be passed around as AlignmentContexts themselves. Writing a new kind of read-filtered alignment context boils down to implementing the filter method.
@ReverseReadsContext - a FilteredAlignmentContext that takes only reads in the reverse direction
@ForwardReadsContext - a FilteredAlignmentContext that takes only reads in the forward direction
@QualityScoreThresholdContext - a FilteredAlignmentContext that takes only reads above a given quality score threshold (defaults to 22 if none provided).
A unit test bamfile and associated unit tests for these are in the works.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1559 348d0f76-0448-11de-a6fe-93d51630548a
-Remove KGenomesSNPROD
-Remove rodFLT
-Renamed rodGFF to RodGenotypeChipAsGFF
-Fixed a problem in SSGenotypeCall
-Added basic SSGenotype Test class
-Make VCFHeader constructors public
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1536 348d0f76-0448-11de-a6fe-93d51630548a
This now allows us to incorporate both the clustered SNP filter and a SNP-near-indels filter, which otherwise wasn't possible.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1484 348d0f76-0448-11de-a6fe-93d51630548a
from an array of bases to an object (ReferenceContext), and LocusContext has been renamed to reflect
the fact that it contains contextual information only about the alignments, not the locus in general.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1376 348d0f76-0448-11de-a6fe-93d51630548a
ebanks
asivache
kiran
depristo
chartl
aaron
hanna