| RetroPred: a tool for prediction, classification and extraction of non-LTR retrotransposons (LINEs & SINEs) from the genome by integrating PALS, PILER, ... elements ): An article from: Bioinformation | Digitalby Pradeep Kumar Naik (Author), Vinay Kumar Mittal (Author), Sumit Gupta (Author)
| List Price: | $9.95 | | | Available: | Available for download now |
| | Binding: | Digital | | Publisher: | Biomedical Informatics Publishing Group | | Page Count: | 11 Pages | | Publication Date: | January 01, 2008 |
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Product Description
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 networkCitation DetailsTitle: 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 NaikPublication: Bioinformation (Magazine/Journal)Date: January 1, 2008Publisher: Biomedical Informatics Publishing Group Page: 263(8)Distributed by Gale, a part of Cengage Learning |
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