SINE_scan

SINE_scan detects and predicts short interspersed nuclear elements (SINEs) in genomic DNA to enable de novo discovery and characterization of SINE families and their genomic abundance.

Key Features:

• Integration of hallmark features: Uses copy number and structural signals associated with SINE transposition as primary criteria for prediction.
• De novo discovery: Performs de novo identification of SINEs without requiring pre-existing SINE models.
• Performance: Reports higher sensitivity and specificity compared with previously published de novo SINE discovery programs.
• Robustness to sequence divergence: Addresses weak structural signals and rapid sequence diversification characteristic of SINEs.
• Empirical validation: Evaluated on 19 plant and animal genomes ranging from 120 megabases to 3.5 gigabases.
• Discovery outcomes: Identifies numerous new SINE families and can substantially increase estimated genomic abundance of SINEs.
• Implementation: Implemented in PERL.

Scientific Applications:

• Genome-wide SINE annotation: Identification and annotation of SINEs across assembled genomic sequences.
• Novel family discovery: Discovery and characterization of previously unreported SINE families.
• Abundance estimation: Estimation and revision of SINE genomic abundance in diverse genomes.
• Comparative genomics and evolution: Comparative analyses of SINE content across plant and animal genomes to study impacts on genome evolution and function.

Methodology:

Integrates hallmark transposition features (copy number and structural signals) for de novo prediction of SINEs and is implemented in PERL.