Question: Merging Transcriptomes from different assemblers
gravatar for ponganta
7 months ago by
ponganta50 wrote:

Hello all, currently I'm working on the de novo assembly of a non-model plant. I've got tissue-specific illumina-, as well as whole-plant ONP-cDNA-reads. My current plans are as follows:

  1. Conducting master-assemblies (short read & Hybrid) using the three best assemblers out there (Trinity, transabyss, rnaspades, according to Hölzer & Marz 2019)
  2. Merging these assemblies
  3. Assembly evaluation (Busco, Transrate, Salmon)
  4. Quantification
  5. Analysis of DEG

Regarding the merging of transcriptomes I've got a few questions: I'd like to build supertranscripts using Corset & Lace (Davidson et al. 2017). How does one go about annotating these for later differential expression analysis?

How do you analyse the quality of supertranscripts?

Are other merging techniques better suited? (There are alternative approaches, namely selecting longest sequence per assembled transcript, longest coding region, or by shared alignment [Gilbert 2019, Davidson et al. 2014])

If anyone has some insights into this, I'd be very thankful.

Edit: changed "differential expression" to "differential expression analysis"

rna-seq assembly • 234 views
ADD COMMENTlink modified 7 months ago • written 7 months ago by ponganta50

Sorry, it's not my particular area, but I will see if I can find somebody.

ADD REPLYlink written 7 months ago by Kevin Blighe69k

Thanks for the offer, although in the end I simply conducted several naive assemblies (Trinity, rnaSPAdes & a custom hybrid pipeline for ONP + illumina). I then simply picked the highest quality one (based on technical & biological metrics). Although transcriptome merging is being held as potentially useful, there are just no standard ways of doing it ATM. rnaSPAdes was pretty solid BTW, despite working the high-level polyploid genome (octoploid!).

ADD REPLYlink modified 5 days ago • written 5 days ago by ponganta50
Please log in to add an answer.


Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 2058 users visited in the last hour