REPdenovo
REPdenovo: Reference-free repeat sequence assembly from raw shotgun reads
REPdenovo assembles repetitive DNA sequences directly from raw shotgun sequencing data without reliance on reference genomes, enabling reconstruction of highly repetitive, low-divergence, and long repeat regions from short-read data.
Key Features:
- Direct Assembly from Raw Data: Operates on raw shotgun sequencing reads without using pre-existing reference genomes.
- Handling Highly Repetitive and Divergent Sequences: Constructs diverse repeat types, including highly repetitive and low-divergence sequences in complex genomes.
- Reconstruction of Long Repeats: Reconstructs long repeat sequences from short reads, capturing extensive repetitive regions.
- Improved Completeness and Quantity: Recovers repeat sequences with higher completeness and yield than existing assembly methods.
Scientific Applications:
- Genome Annotation: Improves genome annotation by enabling identification and integration of previously unrecognized repetitive elements.
- Evolutionary Studies: Supports discovery and comparative analysis of repeat sequence incorporation across genomes, including parasites.
- Host-Derived Repeat Sequences in Parasite Genomes: Detects repeat sequences in human sequencing data that are also present in parasite genomes, indicating persistence linked to host DNA filtering during sequencing.
Methodology:
Applies a novel algorithmic strategy to assemble repeat sequences directly from raw shotgun reads, addressing challenges associated with repetitive regions and sequence divergence in conventional genome assembly pipelines.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Chu C, Nielsen R, Wu Y. REPdenovo: Inferring De Novo Repeat Motifs from Short Sequence Reads. PLOS ONE. 2016;11(3):e0150719. doi:10.1371/journal.pone.0150719. PMID:26977803. PMCID:PMC4792456.