Updating outdated comments.
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@ -52,9 +52,9 @@ import net.sf.samtools.SAMRecord;
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* Since there is a large amount of data one can then calculate an empirical probability of error
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* given the particular covariates seen at this site, where p(error) = num mismatches / num observations
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* The output file is a CSV list of (the several covariate values, num observations, num mismatches, empirical quality score)
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* The first lines of the output file give the name of the covariate classes that were used for this calculation.
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* The first non-comment line of the output file gives the name of the covariates that were used for this calculation.
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*
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* Note: ReadGroupCovariate and QualityScoreCovariate are required covariates and must be at the start of the list.
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* Note: ReadGroupCovariate and QualityScoreCovariate are required covariates and will be added for the user regardless of whether or not they were specified
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* Note: This walker is designed to be used in conjunction with TableRecalibrationWalker.
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*
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* @author rpoplin
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