DANTE_LTR
DANTE_LTR identifies and annotates complete long terminal repeat (LTR) retrotransposons in plant genomes to enable domain-based detection and phylogenetic classification of these elements.
Key Features:
- Domain-based Annotation: Uses DANTE to detect conserved protein domains within genome sequences for LTR retrotransposon identification.
- Structural Feature Detection: Parses DANTE domain outputs and recognizes structural features such as terminal repeats to annotate complete element sequences in adjacent regions.
- Phylogenetic Classification: Classifies LTR retrotransposons into phylogenetic lineages using domain sequence information, enabling resolution beyond superfamily-level assignment.
- Benchmarking and Accuracy: Tested across 93 plant genomes and reports detection of a higher number of intact LTR retrotransposons compared with several established pipelines.
Scientific Applications:
- Plant genome annotation: Annotation of complete LTR retrotransposon sequences within assembled plant genomes.
- Evolutionary biology: Reconstruction of phylogenetic relationships among LTR retrotransposon lineages using domain sequences.
- Functional genomics: Analysis of LTR retrotransposon impact on genome structure and gene regulation.
- Comparative genomics: Cross-species comparison of LTR retrotransposon composition and lineage distribution.
Methodology:
Detect conserved protein domains with DANTE, input domain hits into the DANTE_LTR pipeline to recognize structural features (including terminal repeats) and annotate complete elements, and classify elements into phylogenetic lineages based on domain sequences; benchmarking performed across 93 plant genomes versus other pipelines.
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Added:
- 11/17/2024
- Last Updated:
- 11/17/2024
Operations
Data Inputs & Outputs
Sequence annotation
Publications
Novák P, Hoštáková N, Neumann P, Macas J. DANTE and DANTE_LTR: lineage-centric annotation pipelines for long terminal repeat retrotransposons in plant genomes. NAR Genomics and Bioinformatics. 2024;6(3). doi:10.1093/nargab/lqae113. PMID:39211332. PMCID:PMC11358816.
Documentation
Downloads
- Source codehttps://anaconda.org/petrnovak/dante_ltr