spliting, removing, remerging

mothur bugs
1

Hello everybody. It is probably my brain that is freezing but I have a problem.

For some reasons (too long to write), I need to split a fasta file and a count file (after chimera removal) in “2 dataset”.
After I need to remove sequences from somes groups (negative controls) in dataset1 only, and to remerge the new fasta and count file with dataset 2.

when I use merge.count, I get an error saying that

[ERROR]: Your count table contains more than 1 sequence named M00833_602_000000000-BGWRN_1_1101_10149_9615, sequence names must be unique. Please correct.

Which is weird because the original fasta and count are uniques…

So please help.

The workaround, I believe, would be to analyze dataset 1 and remove the sequences right after chimera removal, run data set 2 as usual, merge the two data sets, create OTUs, write a paper, live a happy life. But a faster approach would befit me. So please, if you have any cue, I could use some help.


Here are my commands lines (yea I know, lots of groups to be removed we went frenzy on controls this time around).
********************* #remove data set 2 from initial file to create dataset1

remove.groups(fasta=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.fasta, count=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.denovo.vsearch.pick.pick.pick.count_table, groups=48B14semF-48B1J0F-48B24semF-48B2J0F-48B34semF-48B3J0F-48B44semF-48B4J0F-48C14semF-48C1J0F-48C24semF-48C2J0F-48C34semF-48C3J0F-48C44semF-48C4J0F-48D14semF-48D1J0F-48D24semF-48D2J0F-48D34semF-48D3J0F-48D44semF-48D4J0F-714semF-71J0F-724semF-72J0F-734semF-73J0F-744semF-74J0F-HB314semF-HB31J0F-HB324semF-HB32J0F-HB334semF-HB33J0F-HB344semF-HB34J0F-LAND114semF-LAND11J0F-LAND124semF-LAND12J0F-LAND134semF-LAND13J0F-LAND14J0F-LAND414semF-LAND41J0F-LAND424semF-LAND42J0F-LAND434semF-LAND43J0F-LAND44J0F-LI114semF-LI11J0F-LI124semF-LI12J0F-LI134semF-LI13J0F-LI144semF-LI14J0F-LI214semF-LI21J0F-LI224semF-LI22J0F-LI234semF-LI23J0F-LI244semF-LI24J0F-M2214semF-M221J0F-M2224semF-M222J0F-M2234semF-M223J0F-M2244semF-M224J0F-M714semF-M71J0F-M724semF-M72J0F-M734semF-M73J0F-M744semF-M74J0F-M814semF-M81J0F-M824semF-M82J0F-M834semF-M83J0F-M844semF-M84J0F-Communautefeces)


summary.seqs(fasta=current, count=current)

count.groups(count=current)

#remove what is not control from in dataset1

remove.groups(fasta=current, count=current, groups=M87J0-M86J0-M85J0-M84J0-M83J0-M82J0-M81J0-M77J0-M76J0-M75J0-M74J0-M73J0-M72J0-M71J0-LAND46J0-LAND45J0-LAND44J0-LAND43J0-LAND42J0-LAND41J0-LAND16J0-LAND15J0-LAND14J0-LAND13J0-LAND12J0-LAND11J0-48B7J0-48B6J0-48B5J0-48B4J0-48B3J0-48B2J0-48B1J0-M874sem-M864sem-M854sem-M844sem-M834sem-M824sem-M814sem-M774sem-M764sem-M754sem-M744sem-M734sem-M724sem-M714sem-LAND464sem-LAND454sem-LAND444sem-LAND434sem-LAND424sem-LAND414sem-LAND164sem-LAND154sem-LAND144sem-LAND134sem-LAND124sem-LAND114sem-48B74sem-48B64sem-48B54sem-48B44sem-48B34sem-48B24sem-48B14sem-48D1J0-48D2J0-48D3J0-48D4J0-48D5J0-48D6J0-48D7J0-48D14sem-48D24sem-48D34sem-48D44sem-48D54sem-48D64sem-48D74sem-M2274sem-M2264sem-M2254sem-M2244sem-M2234sem-M2224sem-M2214sem-LI27J0-LI26J0-LI25J0-LI24J0-LI23J0-LI22J0-LI21J0-LI17J0-LI16J0-LI15J0-LI14J0-LI13J0-LI12J0-LI11J0-LI274sem-LI264sem-LI254sem-LI244sem-LI234sem-LI224sem-LI214sem-LI174sem-LI164sem-LI154sem-LI144sem-LI134sem-LI124sem-LI114sem-HB374sem-HB364sem-HB354sem-HB344sem-HB334sem-HB324sem-HB314sem-774sem-764sem-754sem-744sem-734sem-724sem-714sem-48C1J0-48C2J0-48C3J0-48C4J0-48C5J0-48C6J0-71J0-72J0-73J0-74J0-75J0-76J0-HB31J0-HB32J0-HB33J0-HB34J0-HB35J0-HB36J0-M221J0-M222J0-M223J0-M224J0-M225J0-M226J0-48C7J0-77J0-HB37J0-M227J0-48C74sem-48C64sem-48C54sem-48C44sem-48C34sem-48C24sem-48C14sem-Communauteouef1-Communauteouef2)


summary.seqs(fasta=current, count=current)

count.groups(count=current)

list.seqs(count=current)

#remove sequences from full dataset1

remove.seqs(accnos=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.denovo.vsearch.pick.pick.pick.pick.pick.accnos, fasta=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.fasta, count=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.denovo.vsearch.pick.pick.pick.pick.count_table)

summary.seqs(fasta=current, count=current)

count.groups(count=current)

unique.seqs(fasta=current, count=current)

#remove dataset 1 from initial file to create dataset 2

remove.groups(fasta=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.fasta, count=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.denovo.vsearch.pick.pick.pick.count_table, groups=48B14sem-48B1J0-48B24sem-48B2J0-48B34sem-48B3J0-48B44sem-48B4J0-48B54sem-48B5J0-48B64sem-48B6J0-48B74sem-48B7J0-48B8ctrl4sem-48B8ctrlJ0-48C14sem-48C1J0-48C24sem-48C2J0-48C34sem-48C3J0-48C44sem-48C4J0-48C54sem-48C5J0-48C64sem-48C6J0-48C74sem-48C7J0-48C8ctrl4sem-48C8ctrlJ0-48D14sem-48D1J0-48D24sem-48D2J0-48D34sem-48D3J0-48D44sem-48D4J0-48D54sem-48D5J0-48D64sem-48D6J0-48D74sem-48D7J0-48D8ctrl4sem-48D8ctrlJ0-714sem-71J0-724sem-72J0-734sem-73J0-744sem-74J0-754sem-75J0-764sem-76J0-774sem-77J0-78ctrl4sem-78ctrlJ0-Communauteouef1-Communauteouef2-H20_oeuf1-H20_oeuf2-HB314sem-HB31J0-HB324sem-HB32J0-HB334sem-HB33J0-HB344sem-HB34J0-HB354sem-HB35J0-HB364sem-HB36J0-HB374sem-HB37J0-HB38ctrl4sem-HB38ctrlJ0-LAND114sem-LAND11J0-LAND124sem-LAND12J0-LAND134sem-LAND13J0-LAND144sem-LAND14J0-LAND154sem-LAND15J0-LAND164sem-LAND16J0-LAND18ctrlJ0-LAND414sem-LAND41J0-LAND424sem-LAND42J0-LAND434sem-LAND43J0-LAND444sem-LAND44J0-LAND454sem-LAND45J0-LAND464sem-LAND46J0-LAND48ctrl4sem-LAND48ctrlJ0-LI114sem-LI11J0-LI124sem-LI12J0-LI134sem-LI13J0-LI144sem-LI14J0-LI154sem-LI15J0-LI164sem-LI16J0-LI174sem-LI17J0-LI18ctrl4sem-LI18ctrlJ0-LI214sem-LI21J0-LI224sem-LI22J0-LI234sem-LI23J0-LI244sem-LI24J0-LI254sem-LI25J0-LI264sem-LI26J0-LI274sem-LI27J0-LI28ctrl4sem-LI28ctrlJ0-Land18ctrl4sem-M2214sem-M221J0-M2224sem-M222J0-M2234sem-M223J0-M2244sem-M224J0-M2254sem-M225J0-M2264sem-M226J0-M2274sem-M227J0-M228ctrl4sem-M228ctrlJ0-M714sem-M71J0-M724sem-M72J0-M734sem-M73J0-M744sem-M74J0-M754sem-M75J0-M764sem-M76J0-M774sem-M77J0-M78ctrl4sem-M78ctrlJ0-M814sem-M81J0-M824sem-M82J0-M834sem-M83J0-M844sem-M84J0-M854sem-M85J0-M864sem-M86J0-M874sem-M87J0-M87ctrl4sem-M88ctrlJ0)

summary.seqs(fasta=current, count=current)

count.groups(count=current)

unique.seqs(fasta=current, count=current)

#merge count

merge.count(count=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.pick.count_table-sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.count_table, output=merge.count_table)

#merge is not working so I did not went further.

merge.files(input=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.pick.unique.fasta-sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.unique.fasta, output=merge.fasta)

unique.seqs(fasta=current, count=current)

summary.seqs(fasta=merge.fasta, count=merge.fasta)

2

I think the issue you are having could be from the commands overwriting the files. Renaming should resolve it for you.


#remove dataset 2 from initial file to create dataset1

remove.groups(fasta=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.fasta, count=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.denovo.vsearch.pick.pick.pick.count_table, groups=48B14semF-48B1J0F-48B24semF-48B2J0F-48B34semF-48B3J0F-48B44semF-48B4J0F-48C14semF-48C1J0F-48C24semF-48C2J0F-48C34semF-48C3J0F-48C44semF-48C4J0F-48D14semF-48D1J0F-48D24semF-48D2J0F-48D34semF-48D3J0F-48D44semF-48D4J0F-714semF-71J0F-724semF-72J0F-734semF-73J0F-744semF-74J0F-HB314semF-HB31J0F-HB324semF-HB32J0F-HB334semF-HB33J0F-HB344semF-HB34J0F-LAND114semF-LAND11J0F-LAND124semF-LAND12J0F-LAND134semF-LAND13J0F-LAND14J0F-LAND414semF-LAND41J0F-LAND424semF-LAND42J0F-LAND434semF-LAND43J0F-LAND44J0F-LI114semF-LI11J0F-LI124semF-LI12J0F-LI134semF-LI13J0F-LI144semF-LI14J0F-LI214semF-LI21J0F-LI224semF-LI22J0F-LI234semF-LI23J0F-LI244semF-LI24J0F-M2214semF-M221J0F-M2224semF-M222J0F-M2234semF-M223J0F-M2244semF-M224J0F-M714semF-M71J0F-M724semF-M72J0F-M734semF-M73J0F-M744semF-M74J0F-M814semF-M81J0F-M824semF-M82J0F-M834semF-M83J0F-M844semF-M84J0F-Communautefeces)

#creates sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.fasta, lets’s rename it to help keep things straight.

rename.file(fasta=current, count=current, prefix=dataset1_control)


summary.seqs(fasta=current, count=current) - dataset1_control.fasta, dataset1_control.count_table

count.groups(count=current)

#remove what is not control from in dataset1

remove.groups(fasta=current, count=current, groups=M87J0-M86J0-M85J0-M84J0-M83J0-M82J0-M81J0-M77J0-M76J0-M75J0-M74J0-M73J0-M72J0-M71J0-LAND46J0-LAND45J0-LAND44J0-LAND43J0-LAND42J0-LAND41J0-LAND16J0-LAND15J0-LAND14J0-LAND13J0-LAND12J0-LAND11J0-48B7J0-48B6J0-48B5J0-48B4J0-48B3J0-48B2J0-48B1J0-M874sem-M864sem-M854sem-M844sem-M834sem-M824sem-M814sem-M774sem-M764sem-M754sem-M744sem-M734sem-M724sem-M714sem-LAND464sem-LAND454sem-LAND444sem-LAND434sem-LAND424sem-LAND414sem-LAND164sem-LAND154sem-LAND144sem-LAND134sem-LAND124sem-LAND114sem-48B74sem-48B64sem-48B54sem-48B44sem-48B34sem-48B24sem-48B14sem-48D1J0-48D2J0-48D3J0-48D4J0-48D5J0-48D6J0-48D7J0-48D14sem-48D24sem-48D34sem-48D44sem-48D54sem-48D64sem-48D74sem-M2274sem-M2264sem-M2254sem-M2244sem-M2234sem-M2224sem-M2214sem-LI27J0-LI26J0-LI25J0-LI24J0-LI23J0-LI22J0-LI21J0-LI17J0-LI16J0-LI15J0-LI14J0-LI13J0-LI12J0-LI11J0-LI274sem-LI264sem-LI254sem-LI244sem-LI234sem-LI224sem-LI214sem-LI174sem-LI164sem-LI154sem-LI144sem-LI134sem-LI124sem-LI114sem-HB374sem-HB364sem-HB354sem-HB344sem-HB334sem-HB324sem-HB314sem-774sem-764sem-754sem-744sem-734sem-724sem-714sem-48C1J0-48C2J0-48C3J0-48C4J0-48C5J0-48C6J0-71J0-72J0-73J0-74J0-75J0-76J0-HB31J0-HB32J0-HB33J0-HB34J0-HB35J0-HB36J0-M221J0-M222J0-M223J0-M224J0-M225J0-M226J0-48C7J0-77J0-HB37J0-M227J0-48C74sem-48C64sem-48C54sem-48C44sem-48C34sem-48C24sem-48C14sem-Communauteouef1-Communauteouef2)

#creates dataset1_control.pick.fasta, lets’s rename it to help keep things straight.

rename.file(fasta=current, count=current, prefix=control) - control.fasta, control.count_table


summary.seqs(fasta=current, count=current)

count.groups(count=current)

list.seqs(count=current) - this should be all the sequences in the control set for dataset1

#remove control sequences from full dataset1

remove.seqs(accnos=control.accnos, fasta=dataset1_control.fasta, count=dataset1_control.count_table) - creates a file containing only the dataset1 sequences

#creates dataset1_control.pick.fasta, lets’s rename it to help keep things straight.

rename.file(fasta=current, count=current, prefix=dataset1) - dataset1.fasta, dataset1.count_table


summary.seqs(fasta=current, count=current)

count.groups(count=current)

unique.seqs(fasta=current, count=current)

#remove dataset 1 from initial file to create dataset 2 - alternatively you could use the remove.seqs command here

remove.groups(fasta=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.fasta, count=sandrine.trim.contigs.good.unique.good.filter.unique.precluster.denovo.vsearch.pick.pick.pick.count_table, groups=48B14sem-48B1J0-48B24sem-48B2J0-48B34sem-48B3J0-48B44sem-48B4J0-48B54sem-48B5J0-48B64sem-48B6J0-48B74sem-48B7J0-48B8ctrl4sem-48B8ctrlJ0-48C14sem-48C1J0-48C24sem-48C2J0-48C34sem-48C3J0-48C44sem-48C4J0-48C54sem-48C5J0-48C64sem-48C6J0-48C74sem-48C7J0-48C8ctrl4sem-48C8ctrlJ0-48D14sem-48D1J0-48D24sem-48D2J0-48D34sem-48D3J0-48D44sem-48D4J0-48D54sem-48D5J0-48D64sem-48D6J0-48D74sem-48D7J0-48D8ctrl4sem-48D8ctrlJ0-714sem-71J0-724sem-72J0-734sem-73J0-744sem-74J0-754sem-75J0-764sem-76J0-774sem-77J0-78ctrl4sem-78ctrlJ0-Communauteouef1-Communauteouef2-H20_oeuf1-H20_oeuf2-HB314sem-HB31J0-HB324sem-HB32J0-HB334sem-HB33J0-HB344sem-HB34J0-HB354sem-HB35J0-HB364sem-HB36J0-HB374sem-HB37J0-HB38ctrl4sem-HB38ctrlJ0-LAND114sem-LAND11J0-LAND124sem-LAND12J0-LAND134sem-LAND13J0-LAND144sem-LAND14J0-LAND154sem-LAND15J0-LAND164sem-LAND16J0-LAND18ctrlJ0-LAND414sem-LAND41J0-LAND424sem-LAND42J0-LAND434sem-LAND43J0-LAND444sem-LAND44J0-LAND454sem-LAND45J0-LAND464sem-LAND46J0-LAND48ctrl4sem-LAND48ctrlJ0-LI114sem-LI11J0-LI124sem-LI12J0-LI134sem-LI13J0-LI144sem-LI14J0-LI154sem-LI15J0-LI164sem-LI16J0-LI174sem-LI17J0-LI18ctrl4sem-LI18ctrlJ0-LI214sem-LI21J0-LI224sem-LI22J0-LI234sem-LI23J0-LI244sem-LI24J0-LI254sem-LI25J0-LI264sem-LI26J0-LI274sem-LI27J0-LI28ctrl4sem-LI28ctrlJ0-Land18ctrl4sem-M2214sem-M221J0-M2224sem-M222J0-M2234sem-M223J0-M2244sem-M224J0-M2254sem-M225J0-M2264sem-M226J0-M2274sem-M227J0-M228ctrl4sem-M228ctrlJ0-M714sem-M71J0-M724sem-M72J0-M734sem-M73J0-M744sem-M74J0-M754sem-M75J0-M764sem-M76J0-M774sem-M77J0-M78ctrl4sem-M78ctrlJ0-M814sem-M81J0-M824sem-M82J0-M834sem-M83J0-M844sem-M84J0-M854sem-M85J0-M864sem-M86J0-M874sem-M87J0-M87ctrl4sem-M88ctrlJ0)

#creates sandrine.trim.contigs.good.unique.good.filter.unique.precluster.pick.pick.pick.pick.fasta, lets’s rename it to help keep things straight.

rename.file(fasta=current, count=current, prefix=dataset2) dataset2.fasta, dataset2.count_table


summary.seqs(fasta=current, count=current)

count.groups(count=current)

unique.seqs(fasta=current, count=current)

#merge counts of dataset1 and dataset2

merge.count(count=current-dataset1.unique.count_table, output=merge.count_table)

merge.files(input=dataset1.unique.fasta-dataset2.unique.fasta, output=merge.fasta)

unique.seqs(fasta=merge.fasta, count=merge.count_table)

summary.seqs(fasta=current, count=current)

3

Thank Sarah for pointing that out, I will try this and will post the results back.

4

It, unfortunately, was not the case. I still have the same error message.

I will try the long road.

I will report back.

5

If you send your input files to mothur.bugs@gmail.com, I will take a look.

6

Hi Alexandre,
Thanks for sending your files. When I take a closer look at sequence M00833_602_000000000-BGWRN_1_1101_10149_9615, I can see it belongs to dataset1 and dataset2. M00833_602_000000000-BGWRN_1_1101_10149_9615 is represented in 5 groups as follows:

48C44sem = dataset1
48D24sem = dataset1
48D4J0 = dataset1
LI12J0 = dataset1
LI21J0F = dataset2

When mothur tries to merge the files, it fails because it’s not sure which counts for M00833_602_000000000-BGWRN_1_1101_10149_9615 you want to keep.

M00833_602_000000000-BGWRN_1_1101_10149_9615 … 0 0 0 0 4 …

or

M00833_602_000000000-BGWRN_1_1101_10149_9615 … 1 2 1 3 0 …

Kindly,
Sarah Westcott

7

Ok, so I took the long way and analyzed each dataset separately.

I still have the same error message, which is weird.

My understanding was that each sequence name was unique to the sample/sequencing run so I do not get why some sequence names are shared between the 2 datasets. Was I wrong?

8

Ok, I went back to my *.files.

Two groups are in both dataset, that’s why.

9

Hi,

I also was struggling with exactly the same problem and have encountered the merge.count error with different files, even with the split and reassembly of count_tables containing only 2 groups.
Similar to Alex’s example, I had split my analysis into several runs and re-merged before clustering without problems.

However, below the example were I have tried to split and re-merge count_files without any further manipulation between split and merging, nevertheless it always results in error.
:shock:


Any help would be greatly appreciated,

Cheers,
Thomas



#-------------------------------- #test with equal split, verification of base files

unique.seqs(count=test.main.count_table, fasta=test.main.fasta)
2178329 2178329
#no more new uniques

summary.seqs(count=test.main.count_table, fasta=test.main.fasta)
Start End NBases Ambigs Polymer NumSeqs
Minimum: 1 635 226 0 3 1
2.5%-tile: 1 635 253 0 4 764358
25%-tile: 1 635 253 0 4 7643580
Median: 1 635 253 0 5 15287160
75%-tile: 1 635 253 0 5 22930739
97.5%-tile: 1 635 254 0 6 29809961
Maximum: 1 635 275 0 8 30574318
Mean: 1 635 253.064 0 4.59494

of unique seqs: 2178329

total # of seqs: 30574318


count.groups(count=test.main.count_table) #get randomly chosen 1/2 of all groups

#---------------------------------------------------
#get groups from base files

get.groups(count=test.main.count_table, fasta=test.main.fasta, accnos=rd.groups.74.accnos)

system(mv test.main.pick.count_table test.main.accnos.count_table)
system(mv test.main.pick.fasta test.main.accnos.fasta)
unique.seqs(fasta=test.main.accnos.fasta, count=test.main.accnos.count_table)
#1184814 1184814
#no new uniques
summary.seqs(fasta=test.main.accnos.fasta, count=test.main.accnos.count_table)
Start End NBases Ambigs Polymer NumSeqs
Minimum: 1 635 226 0 3 1
2.5%-tile: 1 635 253 0 4 384930
25%-tile: 1 635 253 0 4 3849291
Median: 1 635 253 0 5 7698581
75%-tile: 1 635 253 0 5 11547871
97.5%-tile: 1 635 254 0 6 15012232
Maximum: 1 635 275 0 8 15397161
Mean: 1 635 253.066 0 4.58229

of unique seqs: 1184814

total # of seqs: 15397161


#================================================== #remove same groups from base files

remove.groups(count=test.main.count_table, fasta=test.main.fasta, accnos=rd.groups.74.accnos)

system(mv test.main.pick.count_table test.main.remaining.groups.count_table)
system(mv test.main.pick.fasta test.main.remaining.groups.fasta)
unique.seqs(fasta=test.main.remaining.groups.fasta, count=test.main.remaining.groups.count_table)
#1138837 1138837

no new uniques

summary.seqs(fasta=test.main.remaining.groups.fasta, count=test.main.remaining.groups.count_table)
Start End NBases Ambigs Polymer NumSeqs
Minimum: 1 635 233 0 3 1
2.5%-tile: 1 635 253 0 4 379429
25%-tile: 1 635 253 0 4 3794290
Median: 1 635 253 0 5 7588579
75%-tile: 1 635 253 0 5 11382868
97.5%-tile: 1 635 254 0 6 14797729
Maximum: 1 635 275 0 8 15177157
Mean: 1 635 253.063 0 4.60777

of unique seqs: 1138837

total # of seqs: 15177157

count.groups(count=test.main.remaining.groups.count_table)
count.groups(count=test.main.accnos.count_table)
#no duplication of groups

#======================================================
merge.count(count=test.main.accnos.unique.count_table-test.main.remaining.groups.unique.count_table, output=test.main.reassembled.count_table)
[ERROR]: Your count table contains more than 1 sequence named M01157_11_000000000-B48TH_1_1101_10742_22525, sequence names must be unique. Please correct.

#=================================================================================================

#2nd test: split of files containing only two groups:



split.groups(fasta=TWA_STO.unique.fasta, count=TWA_STO.unique.count_table)
Output File Names: TWA_STO.unique.STO.fasta TWA_STO.unique.STO.count_table TWA_STO.unique.TWA.fasta TWA_STO.unique.TWA.count_table

verifying extracted groups

unique.seqs(fasta=TWA_STO.unique.TWA.fasta, count=TWA_STO.unique.TWA.count_table)
13547 13547

Output File Names:
TWA_STO.unique.TWA.unique.count_table
TWA_STO.unique.TWA.unique.fasta

unique.seqs(fasta=TWA_STO.unique.STO.fasta, count=TWA_STO.unique.STO.count_table)
15204 15204

Output File Names:
TWA_STO.unique.STO.unique.count_table
TWA_STO.unique.STO.unique.fasta

reassembling extracted and split groups

merge.count(count=TWA_STO.unique.STO.unique.count_table-TWA_STO.unique.TWA.unique.count_table, output=test.reassemble.count_table)
[ERROR]: Your count table contains more than 1 sequence named M01157_11_000000000-B48TH_1_1103_19550_12172, sequence names must be unique. Please correct.

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