First of all, thanx a lot for your fast reply !
My script looks as follows:
sffinfo(sff=in.sff, flow=T)
shhh.flows(file=in.flow.files, processors=8)
trim.flows(flow=in.flow, oligos=oligos.txt, bdiffs=1, pdiffs=2, processors=8, minflows=360, maxflows=720)
shhh.flows(file=in.flow.files, processors=8)
trim.seqs(fasta=in.shhh.fasta, name=in.shhh.names, oligos=oligos.txt, pdiffs=2, bdiffs=1, maxhomop=8, minlength=200, processors=8)
summary.seqs(fasta=in.shhh.trim.fasta, name=in.shhh.trim.names)
unique.seqs(fasta=in.shhh.trim.fasta, name=in.shhh.trim.names)
summary.seqs(fasta=in.shhh.trim.unique.fasta, name=in.shhh.trim.names)
align.seqs(fasta=in.shhh.trim.unique.fasta, reference=silva.bacteria.fasta, processors=8)
summary.seqs(fasta=in.shhh.trim.unique.align, name=in.shhh.trim.names)
screen.seqs(fasta=in.shhh.trim.unique.align, name=in.shhh.trim.names, group=in.shhh.groups, optimize=start, minlength=200, processors=8)
summary.seqs(fasta=in.shhh.trim.unique.good.align, name=in.shhh.trim.good.names)
count.groups(group=in.shhh.good.groups)
filter.seqs(fasta=in.shhh.trim.unique.good.align, vertical=T, trump=., processors=8)
unique.seqs(fasta=in.shhh.trim.unique.good.filter.fasta, name=in.shhh.trim.good.names)
pre.cluster(fasta=in.shhh.trim.unique.good.filter.unique.fasta, name=in.shhh.trim.unique.good.filter.names, group=in.shhh.good.groups, diffs=2)
after the pre.cluster command I get following output:
missing name HI4A5R103F02KF
missing name HI4A5R103F02OG
missing name HI4A5R103F0379
missing name HI4A5R103F03U6
missing name HI4A5R103F03WF
missing name HI4A5R103F049H
missing name HI4A5R103F04K1
missing name HI4A5R103F04N4
etc. (feels like 1000 pages of “missing name…â€)
HOWEVER, looking for the error, I saw that the problem starts before, namely at:
shhh.flows(file=in.flow.files, processors=8)
-> Instead of getting the output for 27 samples, 3 samples are missing.
I thought I could simply take the same command, but using the single flow files of the three missing samples:
shhh.flows(flow=in.A5.flow, processors=8)
-> But the output was: segmentation fault (core dumped)
Does this mean there is not enough memory?
As mentioned I have applied my script on the same AND another set of samples (but also 16S rRNA gene amplicons) and it worked perfectly on mother 1.24.1. We are thankfully using the server of Thomas Rattei in Vienna, but since the update mothur regularly, 1.24.1 is no longer available and I tried to download the old version to my pc, which did not work.
So, now I will try your link (keeping my fingers crossed!) :roll:
I will inform you about the outcome.
Best regards,
B