NAME
EstimateError.py - Calculates annotation set error rates
DESCRIPTION
usage: EstimateError.py [--version] [-h] ...
Calculates annotation set error rates
help:
- --version
-
show program's version number and exit
- -h, --help
-
show this help message and exit
subcommands:
-
Estimation method
- set
-
Estimates error statistics within annotation sets.
- barcode
-
Calculates pairwise distance metrics of barcode sequences.
output files:
-
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
output fields:
-
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.
AUTHOR
This manpage was written by Andreas Tille for the Debian distribution and
can be used for any other usage of the program.