RetroPred: a tool for prediction, classification and extraction of non-LTR retrotransposons (LINEs & SINEs) from the genome by integrating PALS, ... elements ): An article from: Bioinformation

This digital document is an article from Bioinformation, published by Biomedical Informatics Publishing Group on January 1, 2008. The length of the article is 3053 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.

From the author: Keywords: prediction; non-LTR retrotransposons; classification; LINEs; SINEs; artificial neural network

Citation Details
Title: RetroPred: a tool for prediction, classification and extraction of non-LTR retrotransposons (LINEs & SINEs) from the genome by integrating PALS, PILER, MEME and ANN.(Prediction Model)(Long interspersed elements)(short interspersed elements )
Author: Pradeep Kumar Naik
Publication:Bioinformation (Magazine/Journal)
Date: January 1, 2008
Publisher: Biomedical Informatics Publishing Group
Page: 263(8)

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