Guillermo del Angel 9e25b209e0 First pass of implementation of Reduced Reads with HaplotypeCaller. Main changes: a) Active region: scale PL's by representative count to determine whether region is active. b) Scale per-read, per-haplotype likelihoods by read representative counts. A read representative count is (temporarily) defined as the average representative count over all bases in read, TBD whether this is good enough to avoid biases in GL's. c) DeBruijn assembler inserts kmers N times in graph, where N is min representative count of read over kmer span - TBD again whether this is the best approach. d) Bug fixes in FragmentUtils: logic to merge fragments was wrong in cases where there is discrepancy of overlaps between unclipped/soft clipped bases. Didn't affect things before but RR makes prevalence of hard-clipped bases in CIGARs more prevalent so this was exposed. e) Cache read representative counts along with read likelihoods associated with a Haplotype. Code can/should be cleaned up and unified with PairHMMIndelErrorModelCode, as well as refactored to support arbitrary ploidy in HaplotypeCaller		2012-08-03 12:24:23 -04:00
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bqsr	Smoothing in the BQSR bins should be one error observation and one non-error observation.	2012-07-26 13:59:02 -04:00
compression/reducereads	Updating default value for -mindel to the one used by Khalid in the pipeline and me in my tests.	2012-07-10 02:04:26 -04:00
genotyper	Simple cleanup of pool caller code - since usage is much more general than just calling pools, AF calculation models and GL calculation models are renamed from Pool -> GeneralPloidy. Also, don't have users specify special arguments for -glm and -pnrm. Instead, when running UG with sample ploidy != 2, the correct general ploidy modules are automatically detected and loaded. -glm now reverts to old [SNP|INDEL|BOTH] usage	2012-07-31 16:34:20 -04:00
haplotypecaller	First pass of implementation of Reduced Reads with HaplotypeCaller. Main changes: a) Active region: scale PL's by representative count to determine whether region is active. b) Scale per-read, per-haplotype likelihoods by read representative counts. A read representative count is (temporarily) defined as the average representative count over all bases in read, TBD whether this is good enough to avoid biases in GL's. c) DeBruijn assembler inserts kmers N times in graph, where N is min representative count of read over kmer span - TBD again whether this is the best approach. d) Bug fixes in FragmentUtils: logic to merge fragments was wrong in cases where there is discrepancy of overlaps between unclipped/soft clipped bases. Didn't affect things before but RR makes prevalence of hard-clipped bases in CIGARs more prevalent so this was exposed. e) Cache read representative counts along with read likelihoods associated with a Haplotype. Code can/should be cleaned up and unified with PairHMMIndelErrorModelCode, as well as refactored to support arbitrary ploidy in HaplotypeCaller	2012-08-03 12:24:23 -04:00