Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • menenuh
    Junior Member
    • Jan 2010
    • 8

    "beginner in alignment" question

    Hello,
    I am analyzing Roche 454 sequence data. The sequencing was performed not for whole genome but for the exons of (around) 100 genes. When I first started analyzing, I used the target sequence (exome of 100 genes) as my reference not the whole genome. After all, this target region is tiled and sequenced by Roche platform. But by doing so I am getting a lot of consequential SNPs, most of them are probably false positives.
    But when I perform whole genome alignment, I am getting reasonable/low number of SNPs.
    I checked some specific regions which are showing great variation at the number of SNPs. Turns out, some of the reads mapping to that region in the 1st alignment are not mapping there in whole genome alignment, but to some other region which is not in the target sequence.
    So my questions are;
    Is it general practice to do whole genome alignment in any given NGS project, or do I need more stringent alignment parameters when performing alignment over a specific region?
    By the way, I am using bwa and ssaha2 for alignment step.

    Thanks!
  • bioinfosm
    Senior Member
    • Jan 2008
    • 483

    #2
    I noticed similar behavior looking at capture illumina reads. The capture is not very specific and there is always a lot of 'off-target' sequencing that occurs. In case of using a restricted reference sequence, a lot of those 'off-target' reads are forced to align to these regions, producing false variants.

    The best approach is to use the whole genome for the mapping of reads.
    --
    bioinfosm

    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.
      07-01-2026, 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, Yesterday, 11:08 AM
    0 responses
    7 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...