EstimateError.py - Calculates annotation set error rates
usage: EstimateError.py [--version] [-h] ...
Calculates annotation set error rates
- Estimation method
- set
- Estimates error statistics within annotation sets.
- barcode
- Calculates pairwise distance metrics of barcode sequences.
- error-position
- estimated error by read position.
- error-quality
- estimated error by the quality score assigned within the input file.
- error-nucleotide
- estimated error by nucleotide.
- error-set
- estimated error by annotation set size.
- distance-set
- pairwise hamming distances by annotation set.
- threshold-set
- thresholds from pairwise hamming distances for annotation sets.
- distance-barcode
- estimated error by pairwise hamming distances
- threshold-barcode
- thresholds from pairwise hamming distances for clustering barcodes
- POSITION
- read position with base zero indexing.
- Q
- Phred quality score.
- OBSERVED
- observed nucleotide value.
- REFERENCE
- consensus nucleotide for the barcode read group.
- SET_COUNT
- barcode read group size.
- REPORTED_Q
- mean Phred quality score reported within the input file for the given
position, quality score, nucleotide or read group.
- MISMATCHES
- count of observed mismatches from consensus for the given position,
quality score, nucleotide or read group.
- OBSERVATIONS
- total count of observed values for each position, quality score,
nucleotide or read group size.
- ERROR
- estimated error rate.
- EMPIRICAL_Q
- estimated error rate converted to a Phred quality score.
- ALL
- histogram (count) of all pairwise distance distribution.
- DTN
- histogram (count) of distance to nearest distribution.
- DISTANCE
- length normalized hamming distance.
This manpage was written by Andreas Tille for the Debian
distribution and
can be used for any other usage of the program.