Hi Nitin,

SVM is a machine learning technique which classifies the positives (miRNAs) from other ncRNAs based on certain features. If you want to develop SVM predictor you have to calculate certain features and create the classifier. These features can be any thing like miRNA mfe, stem size, loop size or other features.

If you want to classify these sequences using any machine learning tool you can use

C-mii "http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521235/"

miRPlant "http://www.ncbi.nlm.nih.gov/pubmed/25117656"

and many more "http://omictools.com/mirna-prediction-category"

Hi Nitin,

Let me give you an option to predict miRNA in plant using  similarity-based approach.

The installer could be accessed via link below using user name and password I provided:

http://www3a.biotec.or.th/c-mii/download.php

username: [email protected]

password: mirna@236