CalculateBaseLikelihoodsWalker.java walks through reads calculates likelihoods using SSG at each base position
CalculateAlleleLikelihoodsWalker.java walks through HLA dictionary and calculates likelihoods for allele pairs given output of CalculateBaseLikelihoodsWalker.java
CalculatePhaseLikelihoodsWalker.java walks through reads and calculates likelihoods score for allele pairs given phase information
File Readers:
BaseLikelihoodsFileReader.java reads text file of likelihoods outputted by SSG
FrequencyFileReader.java reads text file of HLA allele frequencies
PolymorphicSitesFileReader.java reads text file of polymorphic sites in the HLA dictionary
SAMFileReader.java reads a sam file (used to read HLA dictionary when in another walker)
SimilarityFileReader.java reads a text file of how similar each read is to the closest HLA allele (used to filter misaligned reads)
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1744 348d0f76-0448-11de-a6fe-93d51630548a
Some notes:
1. This design should be flexible enough to include pooled calling (for now) after discussions with Chris.
2. Using the unified caller with the SingleSampleCalculationModel emits the exact same output as SSG over all of chr20 for NA12878. Additionally, when we include the "max deletions allowed at a locus" argument (so we don't try to call SNPs at deletion sites), it removed 233 SNP calls in chr20 that were clearly indel artficts.
3. The MultiSampleEMCalculationModel is still a work in progress and will be checked in later this week.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1740 348d0f76-0448-11de-a6fe-93d51630548a
@ PooledGenotypeConcordance - changes to output, now also reports false-negatives and false-positives as interesting sites. It's been like this in my directory for ages, just never committed.
@NQSExtendedGroupsCovariantWalker - change for formatting.
@NQSTabularDistributionWalker - breaks out the full (window_size)-dimensional empirical error rate distribution by the window. So if you've got a window of size 3; the quality score sequences 22 25 23 and 22 25 24 have their own bins (each of the 40^3 sequences get one) for match and mismatch counts.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1730 348d0f76-0448-11de-a6fe-93d51630548a
Limitations:
1) Can't handle RC alignments.
2) Can't handle indels.
3) Can't handle N's in reference bases.
4) Stops at first hit.
Ran BWT over a test suite of 800k Ecoli reads. After removing alignments with indels / reads with Ns, the remaining reads were aligned with quality 'equal to' that of the alignment stored in the BAM file. In this case 'equal' quality is <= mismatches to the reference as the existing alignment stored in the BAM file.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1710 348d0f76-0448-11de-a6fe-93d51630548a
quality score of a particular base is than the quality score of its neighbors. The granularity of the binning
jumps from 32 groups to 860 groups.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1702 348d0f76-0448-11de-a6fe-93d51630548a
PARTIAL commit; new, simpler rodRefSeq will reappear in a seq.
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all the updated classes now make use of new SeekableRodIterator instead of RODIterator. RODIterator class deleted. This batch makes only trivial updates to tests dictated by the change in the ROD system interface. Few less trivial updates to follow. This is a partial commit; a few walkers also still need to be updated, hold on...
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1667 348d0f76-0448-11de-a6fe-93d51630548a
- Some walkers don't use the ref base, so speed up traversals by not requiring it
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1652 348d0f76-0448-11de-a6fe-93d51630548a
Also, sanity check that ref is not 'N'.
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The main reason for the change is that there can be (and are!) multiple RODs overlapping with a single reference base position in a single track. There can be two "trivial" RODs at the same location (e.g. samtools pileup will have two point-like records at putative indel sites: one for the reference, the other one for the indel itself). Or there can be one or more "extended" RODs (length >1), eg. dbSNP can report an indel at Z:510-525 AND a SNP at Z:515.
The ReferenceOrderedDatum object (and children) will not be changed, but it is now explicitly interpreted as a single data *record*, possibly out of many available from a given track for the current site. As long as single data record occupies one line in a data file, the new ROD system will take care of loading and keeping multiple records, including extended (length > 1) ones, and will automatically drop the records when they finally go out of scope. For one-line-per-record, multiple-records-per-site RODs, there is no need anymore for the hack used so far that involved passing ROD's own implementation of iterator through reflection mechanism (though it will still work)
* RODRecordList:
the ROD system (its iterators) will now always return a LIST of all RODs available at current position or at current query interval (see below). This class is a trivial wrapper for a list of ROD objects, with added location argument for the whole collection. The location of the RODRecordList is where the ROD system is currently sitting at: a single, current base on the reference (if next() traversal is performed), or the location of the query interval when returned by seekForward() (see below). The ROD objects themselves will have their locations set according to the original data in the file. Hence, perusing the above example of a dbSNP indel at Z:510-525 and SNP at Z:515, when moving to the position Z:515 the ROD system will return a RODRecorList with location Z:515, and with two ROD objects packaged inside, one with location Z:510-525, the other with Z:515.
*RODRecodIterator:
Almost identical to old SimpleRODIterator used by ReferenceOrderedData; this is a low-level iterator that walks over records in the data file (with a callback to ROD's ::parseLine() to parse real data)
*SeekableRODIterator:
a decorator class that wraps around Iterator<ROD> (such as RODRecordIterator) and makes the data traversable by reference position, rather than record by record. This is reimplementation of the old RODIterator. SeekableRODIterator's ::next() moves to the next position on the ref and returns all RODs overlapping with that position (as a RODRecordList). This iterator also adds a seekForward(loc) operation, that allows fast forwarding to a specified position or interval. Length > 1 query arguments (extended intervals) are fully supported by seekForward(), the returned RODRecordList wil contain all RODs overlapping with the specified interval, and the location of the returned RODRecordList object will be set to that query interval. NOTE: it is ILLEGAL to perform next() after a seekForward() query with length > 1 interval. seekForward() with point-like (length=1) interval reenables next().
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1650 348d0f76-0448-11de-a6fe-93d51630548a
- summary output now reported as a percentage rather than proportion; 2 sigfigs
- fixed minor bug where FNR was calculated over total calls rather than total variant sites
- column headers are_now_contiguous_strings
- spacing fixed
- "No Call" separated from "Ref Call" as its own column
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1644 348d0f76-0448-11de-a6fe-93d51630548a
Additional output & better output formatting. It has now undergone a good five hours of testing; and for pools of size 1 outputs exactly the same statistics as GenotypeConcordance (when GenotypeConcordance is modified to do nothing on reference='N'); and for pools of many sizes outputs close to the expected (by genetics) statistics. Looks like this is working properly.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@1642 348d0f76-0448-11de-a6fe-93d51630548a