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.

PMID: 33996146
PMCID: PMC8111061
Funding: - National Institutes of Health: 1R01AI128912-01A1 - Wellcome Trust: 204870/Z/16/Z - Medical Research Council: MC_UU_12014/3

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