Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Filtering Illumina GAIIx reads using fastx

    Hi,

    I'm an NGS newbie.
    I'm trying to filter a paired-end fastq reads file produced by Illumina GAIIx, using fastx's default (fastq_quality_filter -q 20).

    I would expect this to filter reads such as:

    @HWUSI-EAS1676_0037_FC:7:1:1250:1070#0/1
    GTATGNGGATATTATTATTTTTTTGTTTAAATTGTGTATAANTNNNTNNNNTAGATGGCTTTCTGTNNNNNNNNN
    +HWUSI-EAS1676_0037_FC:7:1:1250:1070#0/1
    ZUSSYB]YT\\ba``dafffgggeggggcagfgg]fccfdQBZBBBXBBBBUZXV_aa^^dfWdfBBBBBBBBBB

    but it does not.

    Anyone knows what am I doing wrong?

  • #2
    I would suggest that your quality data is encoded in Illumina V1.3+, I think the fastx toolkit needs sanger encoded quality values..

    Galaxy Groomer turned your sample read into:
    @HWUSI-EAS1676_0037_FC:7:1:1250:1070#0/1
    GTATGNGGATATTATTATTTTTTTGTTTAAATTGTGTATAANTNNNTNNNNTAGATGGCTTTCTGTNNNNNNNNN
    +HWUSI-EAS1676_0037_FC:7:1:1250:1070#0/1
    ;644:#>:5==CBAAEBGGGHHHFHHHHDBHGHH>GDDGE2#;###9####6;97@BB??EG8EG##########
    (see usegalaxy.org to convert or use one of existing conversion scripts)
    Greetings and please correct me, if i'm wrong!

    Comment


    • #3
      Originally posted by Jenzo View Post
      I would suggest that your quality data is encoded in Illumina V1.3+, I think the fastx toolkit needs sanger encoded quality values..

      Galaxy Groomer turned your sample read into:


      (see usegalaxy.org to convert or use one of existing conversion scripts)
      Greetings and please correct me, if i'm wrong!
      Actually, the FASTX tools expect the quality values to be Illumina 1.3+ (Phred+64). If you are using Sanger encoded quality scores you would need to use the '-Q 33' option.

      But I'm afraid I don't have an answer for rubi.

      Comment


      • #4
        Thanks,

        Actually it doesn't matter which format I'm using (Illumina or Sanger) fastx gives the same result - none of the reads are filtered out

        Comment


        • #5
          rubi, how are you running fastx? If you are doing it on the command line, could you share your command?

          Comment


          • #6
            Sure. This is the unix command I used:
            fastq_quality_filter -q 20 -i <input_file> -o <output_file>

            Comment


            • #7
              You also have to specify the percentage of bases that have a quality of q with the -p option.

              Comment


              • #8
                Originally posted by pbluescript View Post
                You also have to specify the percentage of bases that have a quality of q with the -p option.
                If you don't specify it fastq_quality trimmer uses a default of 10%.

                Comment


                • #9
                  Hi,
                  I gave same command which was ok on one my fastq files. However the same command on another fastq file gave me this error;

                  fastq_quality_filter: failed to open input file 'file.fq': Value too large for defined data type

                  A similar error is observed for any of the commands in fastx_tool
                  I'll appreciate any input.
                  Many thanks
                  Last edited by Apexy; 05-07-2011, 05:05 AM.

                  Comment

                  Latest Articles

                  Collapse

                  • seqadmin
                    Essential Discoveries and Tools in Epitranscriptomics
                    by seqadmin




                    The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
                    04-22-2024, 07:01 AM
                  • seqadmin
                    Current Approaches to Protein Sequencing
                    by seqadmin


                    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
                    04-04-2024, 04:25 PM

                  ad_right_rmr

                  Collapse

                  News

                  Collapse

                  Topics Statistics Last Post
                  Started by seqadmin, Today, 08:47 AM
                  0 responses
                  12 views
                  0 likes
                  Last Post seqadmin  
                  Started by seqadmin, 04-11-2024, 12:08 PM
                  0 responses
                  60 views
                  0 likes
                  Last Post seqadmin  
                  Started by seqadmin, 04-10-2024, 10:19 PM
                  0 responses
                  59 views
                  0 likes
                  Last Post seqadmin  
                  Started by seqadmin, 04-10-2024, 09:21 AM
                  0 responses
                  54 views
                  0 likes
                  Last Post seqadmin  
                  Working...
                  X