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Simple and fast classification of non-LTR retrotransposons based on phylogeny of their RT domain protein sequences.
Kapitonov, Vladimir V; Tempel, Sébastien; Jurka, Jerzy.
Affiliation
  • Kapitonov VV; Genetic Information Research Institute, 1925 Landings Dr, Mountain View, CA 94041, USA. vladimir@girinst.org
Gene ; 448(2): 207-13, 2009 Dec 15.
Article in En | MEDLINE | ID: mdl-19651192
ABSTRACT
Rapidly growing number of sequenced genomes requires fast and accurate computational tools for analysis of different transposable elements (TEs). In this paper we focus on a rapid and reliable procedure for classification of autonomous non-LTR retrotransposons based on alignment and clustering of their reverse transcriptase (RT) domains. Typically, the RT domain protein sequences encoded by different non-LTR retrotransposons are similar to each other in terms of significant BLASTP E-values. Therefore, they can be easily detected by the routine BLASTP searches of genomic DNA sequences coding for proteins similar to the RT domains of known non-LTR retrotransposons. However, detailed classification of non-LTR retrotransposons, i.e. their assignment to specific clades, is a slow and complex procedure that is not formalized or integrated as a standard set of computational methods and data. Here we describe a tool (RTclass1) designed for the fast and accurate automated assignment of novel non-LTR retrotransposons to known or novel clades using phylogenetic analysis of the RT domain protein sequences. RTclass1 classifies a particular non-LTR retrotransposon based on its RT domain in less than 10 min on a standard desktop computer and achieves 99.5% accuracy. RT1class1 works either as a stand-alone program installed locally or as a web-server that can be accessed distantly by uploading sequence data through the internet (http//www.girinst.org/RTphylogeny/RTclass1).
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / RNA-Directed DNA Polymerase / Classification / Retroelements Type of study: Evaluation_studies / Prognostic_studies Language: En Journal: Gene Year: 2009 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / RNA-Directed DNA Polymerase / Classification / Retroelements Type of study: Evaluation_studies / Prognostic_studies Language: En Journal: Gene Year: 2009 Document type: Article Affiliation country: United States