how to find novel genes and transcripts in gffcompare?
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6.9 years ago

Hello guys, I am new to RNA-SEQ data analysis. I am following the protocol submitted in nature (https://www.nature.com/articles/nprot.2016.095]). I was completed those steps given in the protocol, but i didn't get the novel genes and novel transcripts for my samples. i was running the following command

 gffcompare –r chrX_data/genes/chrX.gtf –G –o merged stringtie_merged.gtf

and i got the result file as

#= Summary for dataset: stringtie_merged.gtf 
#     Query mRNAs :  253181 in   70635 loci  (216728 multi-exon transcripts)
#            (23264 multi-transcript loci, ~3.6 transcripts per locus)
# Reference mRNAs :  216257 in   60158 loci  (189357 multi-exon)
# Super-loci w/ reference transcripts:    51791
#-----------------| Sensitivity | Precision  |
        Base level:   100.0     |    93.0    |
        Exon level:    99.9     |    93.6    |
      Intron level:    99.4     |    94.0    |
Intron chain level:    99.7     |    87.1    |
  Transcript level:    99.8     |    85.2    |
       Locus level:   100.0     |    84.4    |

     Matching intron chains:  188838
       Matching transcripts:  215729
              Matching loci:   60158

          Missed exons:       0/623537  (  0.0%)
           Novel exons:   23741/674273  (  3.5%)
        Missed introns:    2160/383827  (  0.6%)
         Novel introns:    4747/405880  (  1.2%)
           Missed loci:       0/60158   (  0.0%)
           Novel loci:   10239/70635    ( 14.5%)

 Total union super-loci across all input datasets: 70632 
253181 out of 253181 consensus transcripts written in merged.annotated.gtf (0 discarded as redundant)

from this .stats file , where i can find the novel genes and transcripts?

RNA-Seq stringtie gffcompare • 5.8k views
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Entering edit mode

there will be 6 files generated after this step. GTF LOCI STATS REFMAP TMAP TRACKING

what u have given is a stat file content. go through the TMAP file carefully and there will be one column with class codes, which describes the assembled transcripts compare to reference annotation.

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