Hello,
Going through the Miseq SOP example (MiSeq SOP) and am having issues with a step:
After running this step:
mothur > screen.seqs(fasta=stability.trim.contigs.unique.align, count=stability.trim.contigs.count_table, start=1969, end=11551)
The results that I should have seen are:
mothur > summary.seqs(fasta=current, count=current)
Using stability.trim.contigs.good.count_table as input file for the count parameter.
Using stability.trim.contigs.unique.good.align as input file for the fasta parameter.
Using 16 processors.
Start End NBases Ambigs Polymer NumSeqs
Minimum: 1966 11551 250 0 3 1
2.5%-tile: 1969 11551 252 0 3 3217
25%-tile: 1969 11551 252 0 4 32165
Median: 1969 11551 252 0 4 64329
75%-tile: 1969 11551 253 0 5 96493
97.5%-tile: 1969 11551 253 0 6 125440
Maximum: 1969 13401 270 0 8 128656
Mean: 1968 11551 252 0 4
# of unique seqs: 16299
total # of seqs: 128656
Instead, I saw:
mothur > summary.seqs(fasta=current, count=current)
Using stability.trim.contigs.good.count_table as input file for the count parameter.
Using stability.trim.contigs.unique.good.align as input file for the fasta parameter.
Using 16 processors.
Start End NBases Ambigs Polymer NumSeqs
Minimum: 1965 11552 251 0 3 1
2.5%-tile: 1965 11552 251 0 3 1
25%-tile: 1967 11552 252 0 4 7
Median: 1967 11552 252 0 4 13
75%-tile: 1968 11552 253 0 5 19
97.5%-tile: 1968 13400 270 0 8 24
Maximum: 1968 13400 270 0 8 24
Mean: 1967 11629 252 0 4
# of unique seqs: 23
total # of seqs: 24
Don’t know what went wrong in this step, as everything I had before was matching up with the example.
Specifically, what went wrong was that the unique seqs decreased immensely:
# of unique seqs: 23
total # of seqs: 24
Thanks for any help.