summary.qual

The summary.qual command reads a quality file and an optional name, and summarizes the quality information.

Default settings

You must provide a quality file.

mothur > summary.qual(qfile=summary.qual(qfile=stool.trim.pick.qual)

This command will produce a stool.trim.pick.qual.summary, which should look like:

Position   numSeqs AverageQ    q0  q1  q2  ... q38 q39 q40 
0  1382    27.972504   0   0   0   0   ... 11  0   4
1  1382    28.861795   0   0   0   0   ... 27  0   7
2  1382    29.931982   0   0   0   0   ... 28  0   21
3  1382    30.389292   0   0   0   0   ... 32  0   21
4  1382    31.139652   0   0   0   0   ... 53  0   23
5  1382    31.574530   0   0   0   0   ... 66  0   33
6  1382    32.063675   0   0   0   0   ... 85  0   45
7  1382    32.369755   0   0   0   0   ... 97  0   47
8  1382    32.812592   0   0   0   0   ... 110 0   75
9  1382    32.984081   0   0   0   0   ... 132 0   68
...

Position - spot in sequence.
numSeqs - the number of sequence that had that position.
AverageQ - the average quality score
q0 - the number of sequence with a quality score of 0.
q1 - the number of sequence with a quality score of 1.
q2 - the number of sequence with a quality score of 2.
q3 - the number of sequence with a quality score of 3.
q4 - the number of sequence with a quality score of 4.
q5 - the number of sequence with a quality score of 5.
...
...
q40 - the number of sequence with a quality score of 40.

name

The name parameter allows you add a name file with your quality file.

mothur > summary.qual(qfile=stool.trim.pick.qual, name=stool.trim.unique.good.filter.names)

The screen output looks like:

Position   NumSeqs AverageQ
0  2382    27.678001
100    2382    36.780018
200    2040    37.163727

count

The count file is similar to the name file in that it is used to represent the number of duplicate sequences for a given representative sequence. It can also contain group information.

mothur > summary.qual(qfile=stool.trim.pick.qual, count=stool.trim.unique.good.filter.count_table)

processors

The processors option enables you to accelerate the alignment by using multiple processors. Default processors=Autodetect number of available processors and use all available.

Revisions

  • 1.23.0 First Introduced.
  • 1.28.0 Added count option
  • 1.40.0 Rewrite of threaded code. Default processors=Autodetect number of available processors and use all available.