An automated homology-based approach for identifying transposable elements |
| |
Authors: | Ryan C Kennedy Maria F Unger Scott Christley Frank H Collins Gregory R Madey |
| |
Institution: | (1) Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA;(2) Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, USA;(3) Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA;(4) Department of Surgery, University of Chicago, Chicago, IL, USA |
| |
Abstract: | Background Transposable elements (TEs) are mobile sequences found in nearly all eukaryotic genomes. They have the ability to move and
replicate within a genome, often influencing genome evolution and gene expression. The identification of TEs is an important
part of every genome project. The number of sequenced genomes is rapidly rising, and the need to identify TEs within them
is also growing. The ability to do this automatically and effectively in a manner similar to the methods used for genes is
of increasing importance. There exist many difficulties in identifying TEs, including their tendency to degrade over time
and that many do not adhere to a conserved structure. In this work, we describe a homology-based approach for the automatic
identification of high-quality consensus TEs, aimed for use in the analysis of newly sequenced genomes. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|