DARTS
DARTS identifies and annotates long terminal repeat retrotransposons (LTR-RTs) and mines conserved protein domains to support lineage classification and structural and functional analysis.
Key Features:
- Enhanced sensitivity: Identifies LTR-RTs with higher sensitivity than LTRharvest.
- Protein-domain mining: Mines sequences based on conserved protein domains within retrotransposons.
- Structural annotation output: Produces structurally annotated nucleotide and amino acid sequences for downstream analysis.
- Lineage and domain composition reporting: Reports lineage classification and protein domain composition of identified LTR-RTs.
- Customizable pipeline: Configurable to mine and annotate other groups of protein-coding transposable elements beyond LTR-RTs.
Scientific Applications:
- Lineage classification: Enables lineage classification of LTR-RTs based on conserved domain composition.
- Comparative and phylogenetic analyses: Provides annotated nucleotide and amino acid sequences immediately usable for comparative and phylogenetic studies.
- Retrotransposon diversity and evolution: Facilitates analysis of the diversity and evolutionary history of retrotransposons in eukaryotic genomes, particularly plants.
- Mining protein-coding TEs: Supports targeted mining and annotation of other protein-coding transposable elements.
Methodology:
DARTS mines sequences using conserved protein domain searches and returns structurally annotated nucleotide and amino acid sequences; its sensitivity has been benchmarked against LTRharvest.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Linux
- Programming Languages:
- Python, Shell
- Added:
- 6/11/2022
- Last Updated:
- 6/11/2022
Operations
Publications
Biryukov M, Ustyantsev K. DARTS: An Algorithm for Domain-Associated Retrotransposon Search in Genome Assemblies. Genes. 2021;13(1):9. doi:10.3390/genes13010009. PMID:35052350. PMCID:PMC8775202.
PMID: 35052350
PMCID: PMC8775202
Funding: - Russian Foundation for Basic Research: 20-34-90114
- Russian State Budjet: 0259-2021-0013