Question: Glimmer output file
gravatar for bitpir
14 months ago by
bitpir130 wrote:


I am not quite understanding the output of the .predict file from Glimmer3.02 ORF predictor.

Here's a sample of the output file

ref|NC_023013.1| Haloarcula hispanica N601 chromosome 1, complete sequence
orf00001        1     1575  +1    18.88
orf00003     2355     1645  -1    12.87

According to the documentation, column1= ID, column2=start of gene, column3= stop of gene, column4=reading frame, column5=The per-base “raw” score of the gene.

My questions are:

  1. to calculate the ORF score (100*log-odd ratio) of the gene, do I multiply column5 by the length of the gene?
  2. Is there a good threshold (either for column 5 or the calculated score) to see if the predicted ORF is likely to be true?

Thanks for the help!

glimmer3 orf prediction • 444 views
ADD COMMENTlink modified 14 months ago • written 14 months ago by bitpir130

My question is: 1. 2.

I see more than one question :-)

ADD REPLYlink written 14 months ago by RamRS22k

Good catch! Thought of another question but forgot to change the grammar! :)

ADD REPLYlink written 14 months ago by bitpir130

a bit pragmatic maybe, but all really depends on how you run glimmer.

Plain glimmer3 predictions often are an underprediction and don't get the start codon right. the included iterative workflow creates a first model, determines a PWM on the most likely Shine-Dalgarno site and a better estimate of the start codon distribution and reruns glimmer using this information. The resulting gene model is far more accurate than the initial one.

ADD REPLYlink written 14 months ago by Carambakaracho1.2k

Thanks for the info. About the iterative workflow, I often run into a problem of generating PWM. It works for some files but not others. Wonder if this is common?

ADD REPLYlink written 13 months ago by bitpir130
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