Hello,

This is one of the files?
GSM803805_ZMR3_trimmed.txt.gz

ID = Unique sequences identified

ZMR3_raw = Abundance count (raw value)

ZMR3 = Abundance count (tags per million)

ID    ZMR3_raw    ZMR3

TCAAGATTGCATGTAGAAGAGGAAA    1    1

AAGATAGAAGTCAAACACGTT    1    1

AAGCAATTCGAAGGTCGT    1    1

CGAACGAAGATCGCTCACGATC    1    1

GACTGTTGTGGATGATTACTCTAG    1    1

GGAGATCGTGGCTAAGACTT    1    1

AAGCTAATGTGAACTCTGA    1    1

TGTGAGCATACCTGTCGGGACTCGTATG    1    1

Yes, you can create a FASTQ file from this. Tools under "Text or FASTA Manipulation" unless noted.

0 - Load the file(s)
1 - 'Add column' starting with 1 and choosing to increment. This assigns a unique identifier. Or add in any other type that you want - tools in this same tool group can help rearrange data.
2 - 'Cut' out the fourth and first column (result: identifier <tab> sequence).
3 - use 'Tabular-to-FASTA'
4 - Use the tool "'NGS: QC and manipulation: Combine FASTA and QUAL into FASTQ'. Do not choose a quality score file.
5 - Double check the datatype is ".fastqsanger" and reassign the "database" as needed.
6 - Optional: extract a workflow (History menu) from the method the first time through, save, and run on subsequent files.

Hopefully this helps,

Jen
Galaxy team

On 11/7/13 12:30 AM, Jonathan Glass wrote:

Hi There

Im trying to map RNA-seq data to a reference genome in Galaxy (Main instance) using both Bowtie 1 and Bowtie 2. Im currently using publicly available data (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28755) which is not available in FASTQ format - only the raw sequences with the read count. Is there a way to set the input data for bowtie to raw, as is possible using the terminal? Or is there a way to convert a raw sequence to FASTQ (not sure if this would work, but it might be possible if I assigned accession numbers to each sequence and made all the quality scores identical)?

Thanks very much

Jonathan Glass

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