RepLoc

RepLoc quantifies sequence repetitiveness and detects de novo repetitive elements in genomic sequences using a weighted k-mer coverage approach.

Key Features:

• Weighted K-Mer Coverage: Implements a weighted k-mer coverage strategy to enhance precision in quantifying sequence repetitiveness and locating repetitive sequences.
• Repetitiveness Map (Rmap): Generates a repetitiveness map (Rmap) that represents repetitive sequences across the genome for downstream analyses, including segmental duplications.
• Applications in Genome Analysis: Supports de novo repeat detection, genome structure analysis, and genome mappability analysis based on repetitiveness metrics.
• De Novo Repeat Detection: Identifies novel repetitive elements within genomic sequences, including common repeats and segmental duplications.
• Genome Structure and Mappability Analysis: Provides metrics that relate sequence repetitiveness to genome architecture and regions of low mappability.
• Benchmarking Performance: Demonstrated improved sensitivity and specificity for repeat detection compared with existing k-mer counting-based tools.

Scientific Applications:

• De Novo Repeat Detection: Detection of novel repetitive elements in assembled genomic sequences.
• Genome Structure Analysis: Investigation of the relationship between sequence repetitiveness and genome architecture, including segmental duplications.
• Genome Mappability Analysis: Identification of genomic regions that are challenging to map due to high repetitiveness.
• Evolution and Regulation Studies: Analysis of repetitive sequences relevant to genome evolution and regulatory processes.

Methodology:

Computes weighted k-mer coverage across input genomic sequences and constructs a repetitiveness map (Rmap); performance was benchmarked against k-mer counting-based tools.