Activity for Grinder

  • Thodoris Gionnas-Masselos Thodoris Gionnas-Masselos posted a comment on discussion Help

    So I'm trying to use an abundance file generated by grinder (...-ranks.txt) to produce reads for the same list of sequences, species in my case. By when using the "ranks.txt" generated by the program as an input for -af flag I get the error : "Error: Requested reference sequence 'FR749954' in file '20species-ranks.txt' does not exist in the input database." I don't understand how I should be running the command to get what I want, or which is the right format for fasta IDs. Anyone have a clue? First...

  • Shadi Shadi posted a comment on discussion Help

    Hi. I installed Grinder on my Mac. However, when I type grinder in my terminal, I get the following error: zsh: command not found: grinder Would you please help me to resolve this issue? Thanks

  • Najoua MGHAZLI Najoua MGHAZLI modified a comment on discussion Help

    Hello, I am having the same problem as Maria, but the necessary module in my case is Math::Random::MT, when trying to install it via cpan I get the dollowing error message /Users/imac/opt/anaconda3/lib/5.26.2/darwin-thread-multi-2level/CORE/perl.h:694:10: fatal error: 'sys/types.h' file not found Any idea on how to resolve this? Regards, Najoua

  • Najoua MGHAZLI Najoua MGHAZLI posted a comment on discussion Help

    Hello, I am having the same problem as Maria, but the nexessary module in my case is Math::Random::MT, when trying to install it via cpan I get the dollowing error message /Users/imac/opt/anaconda3/lib/5.26.2/darwin-thread-multi-2level/CORE/perl.h:694:10: fatal error: 'sys/types.h' file not found Any idea on how to resolve this? Regards, Najoua

  • Anonymous created ticket #20

    Error: No genome sequences could be used

  • Anonymous posted a comment on ticket #17

    use perl -MCPAN -e shell install Module::Install::PodFromEuclid

  • Brian Brian posted a comment on discussion Help

    For me installing the perl module: Module::Install did the trick. I used this to install it: https://how-to.fandom.com/wiki/How_to_install_PERL_modules

  • Maria Gabriel Maria Gabriel modified a comment on discussion Help

    Hello! I am a begginer bioinformatician and I am having the following error when trying to install Grinder: $ perl Makefile.PL make Can't locate inc/Module/Install.pm in @INC (you may need to install the inc::Module::Install module) (@INC contains: /etc/perl /usr/local/lib/x86_64-linux-gnu/perl/5.30.0 /usr/local/share/perl/5.30.0 /usr/lib/x86_64-linux-gnu/perl5/5.30 /usr/share/perl5 /usr/lib/x86_64-linux-gnu/perl/5.30 /usr/share/perl/5.30 /usr/local/lib/site_perl /usr/lib/x86_64-linux-gnu/perl-base)...

  • Maria Gabriel Maria Gabriel modified a comment on discussion Help

    Hello! I am a begginer bioinformatician and I am having the following error when trying to install Grinder: $ perl Makefile.PL make Can't locate inc/Module/Install.pm in @INC (you may need to install the inc::Module::Install module) (@INC contains: /etc/perl /usr/local/lib/x86_64-linux-gnu/perl/5.30.0 /usr/local/share/perl/5.30.0 /usr/lib/x86_64-linux-gnu/perl5/5.30 /usr/share/perl5 /usr/lib/x86_64-linux-gnu/perl/5.30 /usr/share/perl/5.30 /usr/local/lib/site_perl /usr/lib/x86_64-linux-gnu/perl-base)...

  • Maria Gabriel Maria Gabriel modified a comment on discussion Help

  • Maria Gabriel Maria Gabriel posted a comment on discussion Help

    Hello! I am a begginer bioinformatician and I am having the following error when trying to install Grinder: $ perl Makefile.PL make Can't locate inc/Module/Install.pm in @INC (you may need to install the inc::Module::Install module) (@INC contains: /etc/perl /usr/local/lib/x86_64-linux-gnu/perl/5.30.0 /usr/local/share/perl/5.30.0 /usr/lib/x86_64-linux-gnu/perl5/5.30 /usr/share/perl5 /usr/lib/x86_64-linux-gnu/perl/5.30 /usr/share/perl/5.30 /usr/local/lib/site_perl /usr/lib/x86_64-linux-gnu/perl-base)...

  • Muhammet Celik Muhammet Celik posted a comment on discussion Help

    Thanks for reply. I was wondering if you could tell me what would be the minimal optimum total reads?

  • floflooo floflooo posted a comment on discussion Help

    Hi Muhammet, First, thing, the default -abundance_model is uniform, so if your goal is to produce an uniform distribution of all reference sequences, you can omit the -abundance_file parameter. Second, the default -total_reads is 100, so with such as small number, you may not have exactly 10 reads from each of your 10 references, but close to that (since this process is based on probabilities). Hope this helps! Best, Florent

  • Muhammet Celik Muhammet Celik posted a comment on discussion Help

    Is there anyone who can help me out?

  • Muhammet Celik Muhammet Celik modified a comment on discussion Help

    Hello, Great work, i appreciate it so much but i am having a little problem. Eventho i ve tried many options i simply can not get the abundance that i specify. I.E. my abundance file looks like below, i should get an equal distribution right? Somehow the grinder-ranks.txt shows the abundance correct but in my grinder-reads.fa file does not yield equal distribution nor never gives me the specified distribution. I am posting the command that i am using altho I have tried it with many parameters . What...

  • Muhammet Celik Muhammet Celik posted a comment on discussion Help

    Hello, Great work, i appreciate it so much but i am having a little problem. Eventho i ve tried many options i simply can not get the abundance that i specify. I.E. my abundance file looks like below, i should get an equal distribution right? Somehow the grinder-ranks.txt shows the abundance correct but in my grinder-reads.fa file does not yield equal distribution nor never gives me the specified distribution. I have tried it with many parameters . What am i doing wrong in here? Please help NR_116675.1...

  • Laëtitia Mathon Laëtitia Mathon posted a comment on discussion Help

    Thank you so much for your help ! It works ! Laetitia

  • floflooo floflooo posted a comment on discussion Help

    Hi Laetitia, I finally had the time to have a look at your example. The problem is that you added several sources of errors in your command. Specifically, the Balzer homopolymer model is the one that causes the extra indels you observe. Since you want to model Illumina reads anyway, omit any homopolymer model (these models are more suited for 454 reads). And let me re-iterate what I said in a previous email. If you run into issues, you need to find the smallest reproducible example (few reference...

  • Laëtitia Mathon Laëtitia Mathon modified a comment on discussion Help

    Good morning, I am trying to simulate Illumina sequencing data. My sequences are ~100bp long. I would like to have an error rate similar to Illumina sequencers and a mutation_ratio so that 98% of the errors are substitutions and 2% are indels. I tried this command : grinder -rf ./Inputs/seq_sample10.fasta -tr 9000 -nl 12 -di 0 -af ./Inputs/abund_sample10.txt -id 150 -rd 150 -fq 1 -ql 36 30 -mo FR -dc '-' -un 1 -mutation_dist poly4 3e-3 3.3e-8 -mutation_ratio 98 2 -hd Balzer -cp 1 -ck 0 -mi ./Inputs/tag_sample10.fasta...

  • Laëtitia Mathon Laëtitia Mathon modified a comment on discussion Help

    Good morning, I am trying to simulate Illumina sequencing data. My sequences are ~100bp long. I would like to have an error rate similar to Illumina sequencers and a mutation_ratio so that 98% of the eroors are substitutions and 2% are indels. I tried this command : grinder -rf ./Inputs/seq_sample10.fasta -tr 9000 -nl 12 -di 0 -af ./Inputs/abund_sample10.txt -id 150 -rd 150 -fq 1 -ql 36 30 -mo FR -dc '-' -un 1 -mutation_dist poly4 3e-3 3.3e-8 -mutation_ratio 98 2 -hd Balzer -cp 1 -ck 0 -mi ./Inputs/tag_sample10.fasta...

  • Laëtitia Mathon Laëtitia Mathon posted a comment on discussion Help

    Good morning, I am trying to simulate Illumina sequencing data. My sequences are ~100bp long. I would like to have an error rate similar to Illumina sequencers and a mutation_ratio so that 98% of the eroors are substitutions and 2% are indels. I tried this command : grinder -rf ./Inputs/seq_sample10.fasta \ -tr 9000 -nl 12 -di 0 -af ./Inputs/abund_sample10.txt \ -id 150 -rd 150 -fq 1 -ql 36 30 -mo FR \ -dc '-' -un 1 -mutation_dist poly4 3e-3 3.3e-8 -mutation_ratio 98 2 \ -hd Balzer -cp 1 -ck 0 -mi...

  • Guilherme Neumann Guilherme Neumann posted a comment on discussion Help

    Thank you Florent !!

  • floflooo floflooo posted a comment on discussion Help

    Hi Guilherme, Grinder is not multi-threaded. However, you can run several Grinder processes simultaneously to take advantage of multiple processing cores. For example, you create a small Bash script that runs 1 Grinder process per chromosome. A note about Grinder speed. There can be a specific performance decrease when you use very large genomes (e.g. human chromosomes) or a very large number of smaller genomes, since all reference sequences are read and kept in memory simultaneously by Grinder....

  • Guilherme Neumann Guilherme Neumann posted a comment on discussion Help

    I mean, using multiple cores.

  • Guilherme Neumann Guilherme Neumann modified a comment on discussion Help

    Hi, I'm wondering whether grinder has support to run using threads.

  • Guilherme Neumann Guilherme Neumann posted a comment on discussion Help

    Hi, I'm wondering wheter grinder has support to run using threads.

  • floflooo floflooo posted a comment on discussion Help

    Hi Aditi, Grinder was written to simulate sequencing errors, but you could likely indirectly use it to include genomic variant "errors". This is an approach I have not tested: 1/ Input your genomes one by one in Grinder and introduce some errors using the error model desired. For the read length parameter, you will need to provide the exact length of your genome to avoid it being truncated or excluded. 2/ After your variants are ready, concatenate them into a single FASTA/FASTQ file. You may need...

  • Aditi Gupta Aditi Gupta posted a comment on discussion Help

    Hello, I read about Grinder in the 2016 Nature Reviews Genetics by Escalona, Rocha, and Posada. In table 4 of their paper, they say that Grinder can introduce genomics variants, both indels and SNPs. However, from the documentation, it seems to me that only sequencing errors are introduced (both indels and SNPs). Is it possible to introduce pre-defined genomic variants (both indels and SNPs) in the simulated reads (that are not sequencing errors)? Thanks!

  • floflooo floflooo modified ticket #19

    Mutations when no error model specified

  • floflooo floflooo posted a comment on ticket #19

    Hi Chad, Have a look at the description of the reads: 1 reference=test1 position=1..99 2 reference=test1 position=complement(1..99) No errors were introduced. However, as you see, some of the reads were generated from the reference sequence itself and some others from its reverse-complement, as you would expect from random shotgun sequencing. If your use-case calls for unidirectional reads, have a look at the -unidirectional option. Cheers, Florent

  • Anonymous created ticket #19

    Mutations when no error model specified

  • floflooo floflooo posted a comment on discussion Help

    Hi Mao, The Illumina model from Korbel assumes that the reads are 100bp. You will need to adjust the parameters if your reads are longer. I suggest you experiment in Excel with this equation (Korbel et al 2009) to keep the same error rate at the last position as you find for reads that are 100 bp: 3e-3 + 3.3e-8 * i^4 Best, Florent

  • Maoxuan Lin Maoxuan Lin posted a comment on discussion Help

    Hi Florent, Hope everything goes well. I simulated some reads with Illumina error model: " -mutation_dist poly4 3e-3 3.3e-8 " using Grinder. I found the error rate is much much higher than expected. For instance, there are lots of errors in this simulated read(length=400base): "@1 reference=*** amplicon=1..434 position=1..400 errors=66%G,73%A,85%G,102%T,118-,139+T,161%T,165%T,173%C,173+A,175%A,177%T,181%A,182-,183-,187%A,187%G,187%C,188%C,189-,191%C,194-,197%C,198%G,198+G,198+T,199%C,200%G,200-,201%A,202+A,204%C,205%C,205%T,205%G,205%C,206%T,207%T,207%T,207%T,207+G,208%A,208%A,210%A,212-,214%T,215%G,215%G,216%G,216-,219-,220%A,222%G,223%A,224%C,224%G,224%T,226%A,226%A,229%C,229%G,230+A,231%C,233%A,233+C,237%T,238%G,239%C,241%A,241%C,241%C,242%G,243%T,243%C,243-,245%T,245%G,246-,247%A,247%C,247%T,247%A,248%G,249%G,250%T,253%G,254%T,254%T,254+C,255%C,255+C,257%T,257%G,257+C,259%G,259%A,259%C,259%C,260%C,260%C,260%C,260-,260-,261%C,261%A,262%A,263%T,264%G,264%A,264%T,264%T,265%G,265%G,265%G,267%C,267%G,267%C,270%A,270%A,271%T,271-,271-,272%A,272%T,272%G,273%C,273%C,274%T,274%T,276%T,276%A,277%T,277%G,278%T,278%G,278-,279%C,279%A,280%C,280%C,281%T,281%A,282%A,282%C,282%A,283%A,284%G,284%G,284+C,285%C,286%C,286%G,286+A,287%T,288%T,288%C,288%T,288%T,289%C,289+T,290%A,290%T,290%T,290%C,290-,290-,291%G,291%T,291%C,291+G,291+T,292%C,292%T,292-,292+T,292+G,293%C,293%T,293%C,293+G,294%G,294%G,294-,294+G,295%T,296%A,296%A,297%G,297%A,297%A,298%G,298-,301%T,301%T,301+A,302%T,302%T,303%C,303%T,303%T,303%T,303-,304%T,304%T,305%T,305+A,306%G,306%C,306%C,306+G,306+G,307%C,307%C,307%G,307%G,308%G,308%T,308%C,308%G,308%C,308%G,308%T,309%C,309%A,309%C,309%C,309-,309-,310%G,310%A,311%C,311%C,311%T,312%T,312%T,312%C,312%C,312-,312-,312+A,313%C,313-,313-,313+C,314%G,314%G,314-,314+T,315%T,315%C,315-,315+A,316%G,316%T,316%C,317%C,317%G,317%G,317-,317+C,318%A,318%T,318+C,318+A,319%A,319%C,319%A,319%T,319%A,320%C,320%A,320-,321%A,321+G,322%T,322%T,322-,322+T,322+A,324%G,324%G,324%T,325%T,325%G,325%C,325%T,326%G,326%T,326%G,326%A,326%G,326-,326+C,327%A,327+C,328%T,328%T,328%T,328%G,328%G,329%G,329%C,329%C,329-,330%C,330%T,330%C,331%G,331%G,331%G,331%C,331%T,332%C,332%A,332%C,332%G,332%G,332%G,332-,333%A,333%A,333%G,333%G,333%G,334%A,334-,335%T,335%G,335-,335-,335+G,336%T,336%C,336%T,336%A,336%T,336%A,336-,337%G,337%A,337%A,338%T,338%G,338%T,338%G,338%A,339%G,339%C,339%G,3440%G,340%G,340%A,341%T,341%A,341%T,341%C,342%G,342%T,342%G,342%T,342%G,342%G,342+C,343%A,343%T,343%T,343%A,343%T,343+A,344%T,344%A,344%C,344%A,344-,344-,345%T,345+G,345+T,346%A,346%C,346%T,346+T,347%G,347%C,347%A,347%A,347%G,347%A,347%C,347%G,347-,347-,347-,348%C,348%A,348+C,349%T,349%T,349%T,349%T,349%G,349-,349+G,350%A,350%T,350%A,350%A,350%T,350%C,350%C,350%T,350%T,350+T,351%G,351%C,351%A,351%A,352%T,352%A,352%C,352%A,352%T,352%A,352%C,352-,352+C,352+T,353%G,353%G,353%C,353%G,353%T,353%T,353%C,353%G,353%C,353%G,354%C,354%G,354%G,354%A,354%A,354%A,354%G,355%T,355%T,355%C,355-,355+T,356%C,356%T,356%G,356%G,357%G,357%C,357%G,357%G,357%G,357%T,357-,357+T,358%T,359%A,359%T,359%C,359%C,359%T,359%A,359%T,359%C,359+A,360%T,360%T,360%T,360%T,360%A,360-,360+A,361%T,361%G,361%T,361+C,362%A,362%T,362%T,362+T,362+C,363%A,363%A,363%C,363%C,363%G,363%G,364%T,364%G,364%C,364%T,364%C,364+G,364+G,365%T,365%T,365%T,365%T,365-,365-,366%T,366%T,366%A,366%A,366%A,366%A,366%C,366%C,367%T,367%C,367%A,367%C,367%A,367%C,367+T,368%A,368%G,368%A,368%G,368%A,368%C,368+C,369%C,369%C,369%G,369+T,370%T,370%A,370%A,370%C,370%T,370-,371%C,371%G,372%C,372%T,372%G,372%C,372%C,372-,373%G,373%G,373%G,373%G,373%T,373%C,373%C,373%G,373-,373-,374%C,374%C,374%T,374%C,374%G,374-,375%C,375%C,375%C,375%A,375%T,375%A,375%C,375%A,375%A,376%A,376%A,376%G,376%A,376%G,376%T,376-,376-,376+C,376+T,376+A,377%G,377%C,377%C,378%G,378%T,378%T,378%G,378%T,378%A,378%G,378%T,378+T,379%A,379%G,379%A,379+C,379+C,379+G,380%G,380%G,380%C,380%A,380%C,380%C,380%G,381%A,381%G,381%A,381%C,381%C,381+G,381+T,381+C,382%A,382%A,382%G,382%A,382%T,382%A,382%T,382%A,382%T,382-,382-,383%T,383%G,383%T,383%T,383%T,383+G,384%A,384%G,384%G,384%T,384%G,384-,384-,385%G,385%A,385%T,385%G,385%A,385%T,385%G,385%T,386%A,386%C,386%A,386%A,386-,387%C,387%T,387%A,387%T,387%T,387-,387-,387-,388%C,388%G,388%G,388%A,388%A,388%G,388-,388-,388+A,388+T,389%A,389%T,389%C,389%A,389%A,389%C,389%C,389%A,389%A,389-,389+A,390%G,390%C,390%G,390%G,390%C,390%C,390%G,390%C,390%G,390%C,390%G,390+C,391%G,391%C,391%C,391%C,391%T,391%C,391%C,391%G,391-,391+T,392%C,392%C,392%A,392%A,392%A,392%C,392%A,392%A,392%C,392%A,392%T,393%G,393%G,393%T,393%C,393%C,393%G,393%C,393%T,393%T,393-,393+T,394%C,394%A,394%G,394%A,394%A,394%G,394+T,395%G,395%T,395%G,395%C,395%G,395%C,395%G,395%C,395%T,395%G,396%T,396%T,396%T,396%G,396%G,396%G,396%T,396%C,396%G,396+G,397%C,397%A,397%G,397%C,397%G,397%A,397%G,397+G,397+T,398%T,398%T,398%T,398%A,398%C,398%A,398%C,398%T,398%T,398%C,398%A,398-,398-,398+A,398+G,399%T,399%C,399%T,399%C,399%G,399-,399-,399+T,400%T,400%G,400%A,400%A,400%A,400%A,400-,400-,400+C**"...

  • Maoxuan Lin Maoxuan Lin posted a comment on discussion Help

    Thanks for the reply.

  • floflooo floflooo posted a comment on discussion Help

    Hi Mao, That's an interesting idea, but it is not supported by Grinder. Best, Florent On Wed, Jun 20, 2018, 20:29 Maoxuan Lin mlin18@users.sourceforge.net wrote: Hi Ginder, I am using Grinder to simulate paired-end reads using a set of reference sequences. My goal is to guarantee every reference sequence has been selected to simulate reads. When I increased the total number of reads to large enough, I achieved this goal. However, I could not find a general rule or specific parameters to achieve this;...

  • Maoxuan Lin Maoxuan Lin modified a comment on discussion Help

    Hi Grinder, I am using Grinder to simulate paired-end reads using a set of reference sequences. My goal is to guarantee every reference sequence has been selected to simulate reads. When I increased the total number of reads to large enough, I achieved this goal. However, I could not find a general rule or specific parameters to achieve this; for example, how can I generate exact one read from every reference sequence or a certain number of reads per reference sequence(like 4 reads per reference...

  • Maoxuan Lin Maoxuan Lin modified a comment on discussion Help

    Hi Grinder, I am using Grinder to simulate paired-end reads using a set of reference sequences. My goal is to guarantee every reference sequence has been selected to simulate reads. When I increased the total number of reads to large enough, I achieved this goal. However, I could not find a general rule or specific parameters to achieve this; for example, how can I generate exact one read from every reference sequence or a certain number of reads per reference sequence(like 4 reads per reference...

  • Maoxuan Lin Maoxuan Lin posted a comment on discussion Help

    Hi Ginder, I am using Grinder to simulate paired-end reads using a set of reference sequences. My goal is to guarantee every reference sequence has been selected to simulate reads. When I increased the total number of reads to large enough, I achieved this goal. However, I could not find a general rule or specific parameters to achieve this; for example, how can I generate exact one read from every reference sequence or a certain number of reads per reference sequence(like 4 reads per reference sequence)?...

  • Anonymous created ticket #17

    installation help needed

  • floflooo floflooo modified ticket #16

    Abundance file bug

  • floflooo floflooo posted a comment on ticket #16

    Hi, The sofware is correct. It does not find reference sequence AE000666 because it is not amplified by the primers you provided. You need to not request this sequence or modified your primers so that they amplify it. Best, Florent

  • Anonymous posted a comment on ticket #16

    Sorry, I didn's save the abundance and reference files in my last message. The abundance file contains the following lines: AE000666 50.0 AE003849 50.0

  • floflooo floflooo modified ticket #15

    How to generate Illumina amplicon reads with pairwise overlap?

  • Anonymous created ticket #16

    Abundance file bug

  • floflooo floflooo posted a comment on ticket #15

    Use the -id <insert_dist> option. From the manpage: "The insert is defined in the...

  • Anonymous created ticket #15

    How to generate Illumina amplicon reads with pairwise overlap?

  • floflooo floflooo committed [384c0c]

    Small internal cleanup

  • floflooo floflooo committed [30a597]

    Improved interface for the poly4 error model, i...

  • floflooo floflooo posted a comment on ticket #10

    Ok, good, closing.

  • floflooo floflooo modified ticket #10

    06-seed.t failing test

  • Francisco J. Ossandon Francisco J. Ossandon posted a comment on ticket #10

    Please close this ticket. ;)

  • Francisco J. Ossandon Francisco J. Ossandon created ticket #14

    Value of "-num_libraries" is ignored

  • Anonymous posted a comment on ticket #11

    Hi Florent, you are right, the fitdistrplus R library was not installed. I had some...

  • Anonymous posted a comment on ticket #12

    I see, so I was putting it in the wrong format. I copy/pasted the text from the examples...

  • Anonymous posted a comment on ticket #10

    Ok, now I discovered something else... Before writing this report, I created a new...

  • Anonymous posted a comment on ticket #10

    Hello Florent, I just realized that at the moment of generating this report my copy...

  • floflooo floflooo modified ticket #13

    Bug in read generation with paired-end and coverage.

  • floflooo floflooo posted a comment on ticket #13

    Hi there! Thanks a lot, I did not think about this potential issue before. This is...

  • Grinder Grinder released /biogrinder/CHANGES

  • Grinder Grinder released /biogrinder/README

  • Grinder Grinder released /biogrinder/Grinder-0.5.4/Grinder-0.5.4.tar.gz

  • floflooo floflooo committed [38d3bf]

    Silenced an expected warning during testing

  • floflooo floflooo committed [498340]

    Grinder version 0.5.4

  • floflooo floflooo committed [79ecc8]

    Using Test::Warn to test and silence warnings

  • floflooo floflooo committed [59e206]

    Test update

  • floflooo floflooo committed [203edb]

    Fix for the last mate pair sometimes missing th...

  • floflooo floflooo committed [823b49]

    Moved exec from 'script/' to conventional 'bin/...

  • Anonymous posted a comment on ticket #13

    "Expecting it's just an option I did not notice." Expecting it's NOT just an option...

  • Anonymous created ticket #13

    Bug in read generation with paired-end and coverage.

  • floflooo floflooo posted a comment on ticket #10

    Seems to work fine on my side with perl 5.20.2 Could you try to individually upgrade...

  • floflooo floflooo modified ticket #9

    Error when generating chimeras

  • floflooo floflooo modified ticket #12

    read_dist parsing problem

  • floflooo floflooo posted a comment on ticket #12

    Hi Francisco, I have added documentation to clarify what the intended usage is when...

  • floflooo floflooo committed [f658f5]

    More dev doc updates

  • floflooo floflooo committed [f84b4b]

    Fix for Perl 5.18's hash_randomization (reporte...

  • floflooo floflooo committed [0bf0fc]

    Updated test on forbidden chars

  • floflooo floflooo committed [0cac7e]

    Added some docs about the dev version

  • floflooo floflooo modified ticket #11

    Errors and warnings in linux Ubuntu

  • floflooo floflooo posted a comment on ticket #11

    Hi Francisco, Regarding the Statistics::R, R, distrplus warning, I suspect that you...

  • Anonymous posted a comment on ticket #12

    I want to add that this problem is not exclusive of 'read_dist', I just realized...

  • Anonymous created ticket #12

    read_dist parsing problem

  • Anonymous created ticket #11

    Errors and warnings in linux Ubuntu

  • Anonymous created ticket #10

    06-seed.t failing test

  • noemi noemi posted a comment on discussion Help

    Thank you very much for your help. Best regards, Noemi

  • floflooo floflooo posted a comment on discussion Help

    Hi Noemi, You need to set the parameter -forward_reverse to produce amplicon datasets...

  • noemi noemi posted a comment on discussion Help

    Hello! I am using Grinder and I have a problem with primers, I would like use the...

  • floflooo floflooo posted a comment on ticket #9

    Hi Piotr, The problem is that using kmer-based chimeras requires reference sequences...

  • Piotr Lukasik Piotr Lukasik created ticket #9

    Error when generating chimeras

  • floflooo floflooo committed [dcbe9e]

    POD update regarding dependencies

  • floflooo floflooo committed [82ce8b]

    More concise test messages

  • floflooo floflooo committed [71fcdf]

    Trivial code reduction

  • floflooo floflooo committed [527739]

    Consistent indentation

  • floflooo floflooo committed [9ea264]

    Database test improvements (patch by Francisco ...

  • floflooo floflooo committed [dc02b2]

    Revised dependencies... No need to bundle Biope...

  • floflooo floflooo committed [1f3f3a]

    Sequencing error tests more deterministic (patc...

  • floflooo floflooo committed [25bca6]

    Fix hash randomization in K-mer tests

  • floflooo floflooo committed [9930a1]

    Deterministic tests of community structure (rep...

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