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Should I be using the reference genome

Hey all,

I have a bit of a predicament. I'm a student currently analyzing RNAseq data. I usually go for de novo assembly;however, recently a reference genome has come available for our organism. The problem is, the genome is incomplete, it's a draft and about a third to a quarter of it is estimated to be missing. I am obtaining about 10,000 extra genes when using de novo transcriptome assembly, and as such this number of unigenes comes closer to the 100% estimated amount of genes.

Do I go with de novo assembly using trinity based on my deep sequenced RNA-seq reads OR do I map to the genome even though it's a draft which is quite incomplete.

Please let me know what would be best.

Thanks.

genome rnaseq
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updated by Brian Bushnell Brian Bushnell • written by Biogeek Biogeek

2 answers

I would suggest to make a de novo assembly of your transcriptome. use that to estimate the completeness of the genome and base your decision on that.

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written by WouterDeCoster WouterDeCoster

Sounds to me like de-novo would be better, if a genome is really only 70% complete, unless the missing portions are just very low complexity or perfect repeats of what you've already got (which is likely, or else they should have assembled). Do you know what is expected to be missing? Or - what is the evidence that so much is missing? What percent of your RNA reads map to the genome?

You could always do a hybrid, mapping to the genome and assembling what's left over, or assembling, then mapping what didn't assemble. But if you don't trust the genome, the simplest approach is just to de-novo assemble.

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written by Brian Bushnell Brian Bushnell

Thanks for your comments guys. I've downloaded the coded proteome of the genome and I'm doing a transrate CRBB coverage analysis against my de novo assembly, to determine how much of the genome I'm covering. Would this provide me with a firm foundation to stand on if someone asks me why I opted for a de novo assembly? As long as I can show statistics which indicate i have excellent coverage? Thanks

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written by Biogeek Biogeek

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