bioRxivGenomicsPreprint
EDTA v2: enabling scalable TE annotation in animal genomes
Shujun OuiD, Tim T. LuiD, Hieu NguyeniD, K. GerhardtiD, Ning 'Faye' Fang, Usman RashidiD, Joseph G. GuhliniD, Jacques DainatiD, Zhigui BaoiD, Philipp E. BayeriD, Yeojung Na, Christopher W. BensoniD
Abstract
The Extensive de-novo TE Annotator (EDTA) automates transposable element annotation in plant genomes but lacks direct LINE/SINE detection, limiting its applicability to animal genomes. We present EDTA v2, which integrates LINE and SINE detection, completely rewrites TIR-Learner for deployability and scalability, and accelerates structural detectors by up to two orders of magnitude. Tested in 30 animal genomes from the Vertebrate Genomes Project Phase I, EDTA v2 bridges the non-LTR detection gap that has prevented automated TE annotation in animals.
- organism: multiple species
- assay: DNA methylation
- research focus: database / resource
- approach: statistical model
- Citations
- 1
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