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Very large FPKM from cuffdiff that doesn't match read counts

Hi Everyone,

I am relatively new to RNAseq, and hope can get some help from more experienced people here.

So I used cuffdiff to look at differential gene expression. I have 2 conditions and 3 replicates for each condition. When I look at the genes_read_group_tracking file, I found that for some genes, one of the replicates has very large FPKM values that doesn't match raw frags count.

For example this is what I see:

tracking_id condition replicate raw_frags internal_scaled_frags external_scaled_frags FPKM effective_length status

  • XLOC_009487 WT 0 4 4.21548 4.21548 1150.43 - OK
  • XLOC_009487 WT 1 5 5.39083 5.39083 1.14629 - OK
  • XLOC_009487 WT 2 8 7.56804 7.56804 1.60234 - OK
  • XLOC_009487 OE 1 2 2.29124 2.29124 0.476229 - OK
  • XLOC_009487 OE 0 5 4.84785 4.84785 0.995213 - OK
  • XLOC_009487 OE 2 5 4.07315 4.07315 0.77989 - OK

You can see that the FPKM for WT 0 is 1150 where as the raw frags is only 4. The other samples are fine. I observed this in multiple genes, and they don't always happen to the same sample. I also check the FPKMs from cufflinks, and they look normal. So seems that it's cuffdiff's problem.

Does anyone know why this happen and how to solve it? Appreciate the help!

rna-seq

Sorry about that, I'll keep that in mind in the future

How does it look in IGV ?

There are very few reads when I look in IGV, so the raw frags of 4 seems to make sense. the FPKM can't be more than 1000

1 answer

Do you get very high FPKM values for that experiment using other versions of cufflinks/cuffdiff?

I was using cufflinks 2.2.1 in command line. Later I tried to use cufflinks in Galaxy, settings are slightly different

I get inflated FPKM in both cases, though the magnitude is different, and some of the genes are different

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