Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • MurielGB
    Member
    • Oct 2013
    • 51

    Remapping

    Hello !

    I have Illumina sequences that I have to remap onto the reference genome.
    First I want to trim the data according to quality and length using Sickle.
    Apparently, the treshold mostly used for quality is 20.

    But what about length ???
    I beleive that if I keep too short sequences they will map in different places in the reference genome and tgis is not good.
    But what treshold use ?
    35 ?

    I have to say that I have different runs with different read length (from 41 to 84).

    Thanks a lot for your help.

    Muriel
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    It sort of depends on what you intend to do downstream with the data. If you're going to be doing something that doesn't pay attention to MAPQ, then you shouldn't set anything too short (maybe 30 or so?). Otherwise, multimappers will just be ignored anyway due to their very low MAPQs, so 20 or so is probably OK, depending on the genome.

    Comment

    • MurielGB
      Member
      • Oct 2013
      • 51

      #3
      Thanks dpryan for your answer.

      The aim of the analysis is to call variants.

      I plan indeed to check the quality of the mapping if this is what you mean by MAPQ though I don't know yet which software I am gonna use.

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        I know that in the case of the UnifiedGenotyper in GATK, the maximum Phred score of a base (used in SNP calling) is capped to the MAPQ, which is a mapping quality (the 5th column in a SAM file). With samtools mpileup, there's the -q option (though its default is 0).

        Comment

        • MurielGB
          Member
          • Oct 2013
          • 51

          #5
          OK thanks a lot !

          Comment

          Latest Articles

          Collapse

          • GATTACAT
            Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by GATTACAT
            Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
            Yesterday, 11:43 AM
          • SEQadmin2
            Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by SEQadmin2


            I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

            Here are nine questions we think about, in roughly the order they matter, before...
            06-18-2026, 07:11 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Today, 11:08 AM
          0 responses
          6 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-30-2026, 05:37 AM
          0 responses
          11 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-26-2026, 11:10 AM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-17-2026, 06:09 AM
          0 responses
          53 views
          0 reactions
          Last Post SEQadmin2  
          Working...