PlantLAI
PlantLAI computes the LTR Assembly Index (LAI) to quantify plant and algal genome assembly quality by measuring long terminal repeat retrotransposon (LTR-RT) assembly completeness.
Key Features:
- LAI metric: Computes the LTR Assembly Index (LAI) as a quantitative measure where higher LAI values correlate with superior genome assembly.
- Large-scale assessment: Evaluates 1,664 plant and algal genomes encompassing over 55 million pseudomolecules/scaffolds totaling approximately 988 gigabase-pairs using an LAI workflow.
- LTR-RT discovery: Identifies 46,583,551 LTR retrotransposons across superfamilies, including 2,263,188 Copia, 2,933,052 Gypsy, and 1,387,311 unknown-superfamily elements.
- Quality classification: Classifies genomes into draft, reference, and gold categories based on LAI values (476 diploid genomes as draft, 472 genomes as reference, 135 genomes as gold).
- Data repository: Provides a repository of LAI assessments and associated genome assembly information to address gaps in existing assembly reports.
Scientific Applications:
- Comparative genomics: Enables comparative assessment of assembly completeness across plant and algal genomes using LAI values.
- Evolutionary biology: Supports analyses of genome structure and transposable element dynamics via comprehensive LTR-RT catalogs.
- Functional genomics: Informs selection of assemblies suitable for downstream gene annotation and functional analyses based on assembly quality.
Methodology:
Uses an LAI workflow that identifies LTR-RTs across Copia, Gypsy, and unknown superfamilies and classifies genomes into quality categories based on computed LAI values.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 1/10/2024
- Last Updated:
- 1/10/2024
Operations
Publications
Mokhtar MM, Abd-Elhalim HM, El Allali A. A large-scale assessment of the quality of plant genome assemblies using the LTR assembly index. AoB PLANTS. 2023;15(3). doi:10.1093/aobpla/plad015. PMID:37197714. PMCID:PMC10184434.