Hello,

For the first question, make sure that you are running the groomer with the correction options. In almost all cases for Illumina data this will mean leaving all but one setting at default. The setting to change is "Input FASTQ quality scores type:". The results of FastQC will inform you about how to set this. An example is in this wiki section's screencast plus the first bullet point:
https://wiki.galaxyproject.org/Support#Dataset_special_cases
http://vimeo.com/galaxyproject/fastqprep

For the second, I am not sure what you mean by 'different'. Do you mean the data may have contamination from another species? Or that the the data content may be different with respect to quality?

In short, to filter based on quality as reported in the FastQC report, try tools in the same tool group such as "FASTQ Trimmer" or "FASTQ Quality Trimmer".

The protocols included in our RNA-seq pipeline help start out with some quality steps:
https://wiki.galaxyproject.org/Support#Tools_on_the_Main_server:_RNA-seq

And many from our community have contributed RNA-seq tutorials:
https://wiki.galaxyproject.org/Learn#Other_Tutorials

Hopefully this helps!

Jen
Galaxy team

On 12/13/13 7:05 AM, Jorge Braun wrote:
Hello mates,

I have two doubts galaxy:

a) I have rna-seq data from Illumina and do fastqc ... the results are good but when I fastgroomer to Sanger format and then fastqc ... the results are bad. Does anyone know the cause? I do not understand why.

b) With the same sequences can know if they are different Rna and eliminate those that do not want to examine?

merry christmas :)


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