Hi everyone,
Several gene annotations have been made on the fungal species I'm working on.
I would like to cross and validate those data to get just one annotation, which would be the closest to the reality.
For this task I have several RNAseq sets of data, obtained in different conditions.
With that, I would like to perform transcriptome assembly, to get transcripts predictions, and confront them to the annotations.
I was wondering if it is a better idea to do transcriptome assembly on each RNA-seq independantly, and then gather the transcripts predicted, or to merge all the reads of all RNA-seq in one file, and to perform the assembly on this file.
Does anyone have an opinion on this?
Thanks
Guillaume
You would be better off combining all of your data. You can map each sample back to the assembly to get abundance per sample/replicate/condition. If you want to do any kind of DGE analysis, this would be ideal.