Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • gprakhar
    Member
    • Aug 2010
    • 78

    Error with Repeat Modeler

    Hello,

    I am working on Repeat annotation of A. indica (Neem).
    While using Repeat Modeler, it runs for 6 rounds on my scaffolds file(118093 sequences).

    In the 6th round at about 14% it stops, with NO error.
    On further investigation the Error log file shows an Floating Point error in the 5th round.
    And the working directory contains a file called as "consensi.fa".

    Now while the on line documentation for Repeat Modeler mentions the final output file to be called as "consensi.fa.classified" which is not there I have "consensi.fa".
    Has the Repeat Modeler run gotten over properly?
    Can I use this file for downstream repeat analysis?

    Regards,
    --
    pg
  • gprakhar
    Member
    • Aug 2010
    • 78

    #2
    Hello,

    Should I use the "consensi.fa" file for further analysis, has the run got over properly?
    Can anyone provide an insight?

    --
    pg

    Comment

    • gprakhar
      Member
      • Aug 2010
      • 78

      #3
      Solved

      Hi,

      No you can not use the "consensi.fa" file as the final result file.

      I just took the top 500 scaffolds from my input file and ran Repeat Modeler on them.
      It worked and produced a "consensi.fa.classified" file, no errors and the last round completed 100%.
      Now trying to determine the maximum number of scaffolds that can be processed by Repeat Modeler without any error.

      But now even if I split my input file into say 10 chunks, and get 10 "consensi.fa.classified", then all of them will have to be combined into a single file.
      IF I simply concatenate them, them there will be many redundant sequences, hence I think the best strategy is to do a, all vs. all similarity search using something like vmatch, lastz or bastn. Then remove all sequences with more than 80% similarity and a very high e-value.

      Is that a correct methodology?

      Regards,
      --
      pg

      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, 07-02-2026, 11:08 AM
      0 responses
      21 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-30-2026, 05:37 AM
      0 responses
      21 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-26-2026, 11:10 AM
      0 responses
      21 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 06-17-2026, 06:09 AM
      0 responses
      54 views
      0 reactions
      Last Post SEQadmin2  
      Working...