Variant Effect Predictor parameters for custom gff and fasta
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7.9 years ago
R.Blues ▴ 160

Hello everyone,

I am learning to use Ensemble VEP (Variant Effect Predictor) in command line mode. I am interested in predicting the effect of variants in an not-standard genome, with my own annotation.

I am using the VEP Github pre-release version (it is a new version, https://github.com/Ensembl/ensembl-vep). In that page it says that for a custom annotation and fasta you can use:

perl vep.pl -i input.vcf -gff data.gff.gz -fasta genome.fa.gz

This is not working for me (it has an error when inferring the transcripts from the GFF). If I do it as with the earlier VEP versions for a custom GFF ("-custom myFeatures.gff.gz,myFeatures,gff,overlap,0"), it creates an output, but I have the impression that this output does not use the fasta file for anything (if I remove the " -fasta genome.fa.gz" option, I obtain the same results).

So I am a bit clueless (there is a lot of information, but I have not found enough information for this case). How should I input these parameters? What am I doing wrong??

Thank you.

VEP SNP fasta gff • 3.1k views
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Given the lack of reply here, you may want to create an issue on GitHub as suggested in their README.

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CooVar was developed for annotating non-standard genomes. The paper contains an in-depth comparison with VEP results. (Disclaimer: I'm co-author of this paper).

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You can also try variant_effect_predictor.pl from Ensembl (the antecesor of VEP). You can build a "cache" by providing a GFF and the reference genome sequence. Then you can run variant_effect_predictor.pl specifying that cache. This worked for me.

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6.4 years ago

Hi R.Blues,

Did you manage to fix your issue? I am trying to do the same but I am having issues creating the cache and I think that it is due to the fact that my annotation has gene, mRNA, CDSs but not exons.

Cheers, Nic

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