Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • thh32
    Member
    • Feb 2014
    • 60

    MSA with 80,000 30bp seqences, provides 1500 base in output file

    I have been trying to do a multiple sequence alignment with 80,000 sequences to identify any similarities. All bases are 36-37bp long however when I run the multiple sequence alignment (tried clustal-omega and muscle however muscle failed) the output file provides the following as an example:

    >NC_000853_1_10|NC_023151_4_32
    -----------TA---------TACG---T-T-G-TA-GA-AAT-C--GCA-A-A-G---
    G---T---G-G-T-GA--TG-T-TA-----------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    ------------------------------------------------------------
    --------------------------------------



    I was wondering if anyone else has had a similar issue and what might be causing this issue?

    Any advice on tools which can deal with such data and provide correct output would be appreciated.

    Thanks,
    Tom
  • GenoMax
    Senior Member
    • Feb 2008
    • 7142

    #2
    Tom: Are these sequences really similar (is this a region that was captured/amplified)? 36-37 bp is not that long (and ~ 80K sequences are too many) and any multiple sequence alignment software will try to do its best to somehow cram them together into a consensus leading to the result you have.

    What exactly are you trying to do? Have the sequences been de-duplicated before alignment?

    Comment

    • thh32
      Member
      • Feb 2014
      • 60

      #3
      The sequences have had any duplicates removed and they are a short region which occur in a defence mechanism in bacteria but we were wondering if they have any similarity to each other. I figured it might be difficult to run but the fact it is running but providing this increased length back just seems odd.

      Comment

      • GenoMax
        Senior Member
        • Feb 2008
        • 7142

        #4
        Most MSA programs were designed before advent of NGS and using 80K sequences may be beyond the original design spec.

        Have you tried the MSA in samples of 1K reads, to see if it works better? Have you considered trying de novo assembly (you may need to sub-sample if 80K reads leads to strange assembly since you haven't said how big is the region you are sequencing)? You could then try to put the individual consensus sequences from sub-assemblies together in a MSA.

        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
        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...