How to extract reads belonging to sense intron/exon and antisense intron/exon while working with small RNA sequence
I have Illumina data of 1 x50bp from small RNA library. I am interested in identifying known and novel miRNAs in my plant, whose reference genome is not available. However, first I want to count the reads aligning Exon sense, Exon antisense, Intron sense, Intron antisense. Basically, I want to replicate the information shown in table below. I have gone through the complete publication and they have mentioned the use of Rfam database in "Experimental procedures" section for identifying mRNA. So my question is how can I classify reads as Exon sense, Exon antisense, Intron sense, Intron antisense using Rfam or any other databases?
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Hello toralmanvar!
You already has a very similar question posted (Extracting reads belonging to different RNA families from Rfam ). You can edit that question (make no changes if not needed) and it will be bumped to main page.
For this reason we have closed your question. This allows us to keep the site focused on the topics that the community can help with.
If you disagree please tell us why in a reply below, we'll be happy to talk about it.
Cheers!
According to me, both the questions are totally different. Previous question was about different non-coding RNA classification, whereas this question focuses on type of mRNA classification. However I agree that the reference publication table which I have provided is same for both.
hello genomax, can you tell me the reason why you think that it is the similar post to my previous post?
Here is the text of your two posts:
and
It looks like you are referring to the same experimental dataset in both posts. You have added the request of
how can I classify reads as Exon sense, Exon antisense, Intron sense, Intron antisense.You can always edit the first post and add this a second requirement. This will automatically bring your post back up to main page. It is my understanding that if you did a smallRNA prep then it is not going to work for normal mRNA discovery.
We make an effort to keep threads focused on topics (with answers in one place) so the information is easy to find for others who search for it in future. That is the only reason this post has been closed with reference to your previous one.