LoReTTA
LoReTTA assembles de novo viral genomes from long-read PacBio sequencing data to produce accurate and contiguous assemblies for viral genomics analyses.
Key Features:
- Reference-Assisted Assembly: Leverages a reference genome to guide de novo assembly of long-read data, adapting reference-assisted strategies from short-read assembly to improve accuracy and contiguity.
- Optimized for Viral Genomes: Tailored to handle viral genome complexities including high genetic diversity, multiple isoforms, and the potential presence of co-occurring organisms in clinical or environmental samples.
- Performance Superiority: Demonstrated superior assembly contiguity and accuracy relative to established long-read assemblers in comparative evaluations using simulated and experimental PacBio datasets.
Scientific Applications:
- Pathogen Identification: Enables reconstruction of viral genomes for pathogen identification from clinical and environmental samples.
- Evolutionary Analysis: Provides assemblies suitable for evolutionary and phylogenetic analyses of viruses.
- Viral Diversity Characterization: Facilitates characterization of viral diversity and detection of co-infecting organisms in complex samples.
Methodology:
Performs reference-assisted de novo assembly adapted for long-read data and was evaluated via comparative analyses on simulated and experimental datasets measuring assembly contiguity and accuracy.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python, Shell
- Added:
- 10/4/2021
- Last Updated:
- 10/4/2021
Operations
Publications
Al Qaffas A, Nichols J, Davison AJ, Ourahmane A, Hertel L, McVoy MA, Camiolo S. LoReTTA, a user-friendly tool for assembling viral genomes from PacBio sequence data. Virus Evolution. 2021;7(1). doi:10.1093/ve/veab042. PMID:33996146. PMCID:PMC8111061.
DOI: 10.1093/VE/VEAB042
PMID: 33996146
PMCID: PMC8111061
Funding: - National Institutes of Health: 1R01AI128912-01A1
- Wellcome Trust: 204870/Z/16/Z
- Medical Research Council: MC_UU_12014/3
Links
Issue tracker
https://github.com/salvocamiolo/LoReTTA/issues