Unknown

Dataset Information

0

LTRclassifier: A website for fast structural LTR retrotransposons classification in plants.


ABSTRACT: Automatic classification of LTR retrotransposons is a big challenge in the area of massive genomics. Many tools were developed to detect them but automatic classification is somehow challenging. Here we propose a simple approach, LTRclassifier, based on HMM recognition followed by BLAST analyses (i) to classify plant LTR retrotransposons in their respective superfamily, and (ii) to provide automatically a basic functional annotation of these elements. The method was tested on various TE databases, and shown to be robust and fast. This tool is available as a web service implemented at IRD bioinformatics facility, http://LTRclassifier.ird.fr/.

SUBMITTER: Monat C 

PROVIDER: S-EPMC5173273 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

LTRclassifier: A website for fast structural LTR retrotransposons classification in plants.

Monat Cecile C   Tando Ndomassi N   Tranchant-Dubreuil Christine C   Sabot Francois F  

Mobile genetic elements 20160926 6


Automatic classification of LTR retrotransposons is a big challenge in the area of massive genomics. Many tools were developed to detect them but automatic classification is somehow challenging. Here we propose a simple approach, <i>LTRclassifier</i>, based on <i>HMM</i> recognition followed by <i>BLAST</i> analyses (<i>i</i>) to classify plant LTR retrotransposons in their respective superfamily, and (<i>ii</i>) to provide automatically a basic functional annotation of these elements. The metho  ...[more]

Similar Datasets

| S-EPMC2686373 | biostudies-literature
| S-EPMC2829327 | biostudies-literature
| S-EPMC2790886 | biostudies-literature
| S-EPMC5850137 | biostudies-literature
| S-EPMC2790888 | biostudies-literature
| S-EPMC3248453 | biostudies-literature
| S-EPMC2864245 | biostudies-literature
| S-EPMC3582472 | biostudies-literature
| S-EPMC6022998 | biostudies-literature
| S-EPMC4963935 | biostudies-literature