The core walker has been modified so that when variant contexts (eval and comp) are subset to command-line-specified sample(s), the chromosome count annotations (AC/AN/AF) are altered to reflect the AC/AN/AF of only those samples involved in the comparison. No more getting AC500 when you're comparing a 10-sample overlap. Interestingly enough, this didn't break any integration tests.
GenotypeConcordance now has two additional tables: Allele Count Statistics, and Allele Count Summary Statistics. These work exactly identically to the Sample Statistics and Sample Summary Statistics tables, except that the partition being used is no longer the sample, but instead the allele count of the variant sites. These tables stratify by both eval and comp ACs, e.g.
evalAC0
evalAC1
evalAC2
compAC0
compAC1
compAC2
Differences with previous integration tests were verified to only be in the Allele Count tables (by grepping them out of the diff); a new test has been added for the simple case of an AC=1 site in the eval becoming an AC=2 site in the comp.
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- Catching errors when LSF fails and retrying.
- When LSF retries fail, catching the error, marking the job as failed, and no longer bkilling everything by exiting Queue.
- Caching function fields by class instead of each instance of a function saving a list of its fields.
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by the fact that the GATKSAMRecord, by design, needs to both inherit from
SAMRecord and wrap a 'member' SAMRecord, and method calls that aren't
implemented as explicit passthroughs can compromise the content of the
SAMRecord in subtle ways.
Will be automatically fixed when Picard moves to a lightweight SAMRecord
interface rather than the current heavyweight implementation. But in
the short-term, there's no obvious fix.
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that have 0 aligned bases in the genome. We'll have to fix walkers as faults
appear.
Also added JIRA GSA-406: finer-grained control of MalformedReadFilter: want
to exception out by default in these cases but pass them with a warning with
a corresponding -U flag.
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- ProduceBeagleInputWalker
+ Now takes a validation ROD and a prior to give it, will use those genotypes in place of the variant genotypes if both are present
+ Takes a bootstrap argument -- can use some given %age of the validation sites
+ Optionally takes a bootstrap output argument -- re-prints the validation VCF, filtering those sites used as part of the bootstrap
-BeagleOutputToVCFWalker
+ Now filters sites where the genotypes have been reverted to hom ref
+ Now calls in to the new VCUtils to calculate AC/AN
-Queue
+ New pipeline libraries for easy qscript creation, still a work in progress, but this is a considerable prototype
+ full calling pipeline v2 uses the above libraries
+ minor changes to some of my own scripts
+ no more need for contig interval lists, these will be parsed out of your normal interval list when it is provided
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a) In Indel genotyper: we can't deal yet with extended events correctly and we are still triggering at each extended event which results in repeated records on a vcf. So, to avoid this, keep track of start position of candidate variantes we've visited and if we've visited a variant before we don't do it again.
b) Avoid infinite terms in QUAL and in genotype likelihoods which can happen if posterior AF happens to be exactly zero. For now, hard-code a minimum value of each term of the posterior AF likelihood to be -300 (ie 1e-300 in lin space). This can be solved with better and smarter log-to-lin conversions and some precision fixes in AF calculation.
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On -run cleaning up .done and .fail files for jobs that will be run.
Added detection to Firehose YAML generator shell script for (g)awk versions that ignore "\n" in patterns.
Removed obsolete mergeText and splitIntervals shell scripts.
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Shell invoking scripts so that even really long shell scripts make it through LSF.
Using the truncated (up to 1000 characters) of the command line for the job name for use with bjobs.
Switched the default from re-running everything to re-running only files that need to be regenerated. --skip_up_to_date replaced with --start_clean for those who want to regenerate everything.
Updated logging to let users know when the scatter gather generator is running, which still takes a while but is orders of magnatudes faster for large lists of functions. (40s for a 100 function graph exploding to a 2500 function graph)
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