Dear Sir, I have assembled the transcriptome of a non-model plant with de Novo assembly method using Trinity, CD-HiT-est, CAP3.I have also done with annotation and want to extend my study regarding transposable elements. SSR mining was done with MISA programme. Right now I am trying to find the transposable elements which are present in transcriptome data and for that I thought of using Repbase censor ,but because I could not able to find the cut-off scores and length ,I was a bit confuse to choose the right parameters. In the case of repeat masker in most of the paper, the cutoff score is mentioned which around 250-300 (RM Score). I would be very grateful to you if you could able to help me in this regard.
Sincerely Rahul
We need more information on what you're trying to do to answer this properly.
However, for 2), RepeatMasker significantly outperforms Censor. Unless you have a reason not to use it, RepeatMasker is basically the de facto standard.
Dear sir, Thank you very much for your reply.I have assembled the transcriptome of a non-model plant with de Novo assembly method using Trinity, CD-HiT-EST, CAP3. Right now I am looking for the Transposable elements mining in transcriptome data (Including small chunks of TE in protein coding genes).I thought of use of Repbase censor for minning but not getting the optimum parameters like cut-offf score and length for the alignmnet.
I will be thankful if could make any coments...
Regards Rahul