proovread

proovread performs hybrid error correction of SMRT long reads using high-quality short reads to reduce sequencing errors and improve accuracy for genomic and transcriptomic analyses.

Key Features:

• Hybrid correction strategy: Integrates SMRT long reads and high-quality short reads to correct errors in SMRT sequencing data.
• Error reduction and accuracy: Reduces sequencing errors in SMRT data, achieving accuracies up to 99.9%.
• Improved read quality and throughput: Increases effective read quality, read length, and throughput relative to existing hybrid correction programs.
• Organism validation: Tested on Escherichia coli, Arabidopsis thaliana, and human samples.
• Computational scalability: Supports execution across a range of computing environments from single machines to high-performance computing clusters.

Scientific Applications:

• Genome assembly: Produces higher-accuracy long reads to support more reliable assembly of complex genomes.
• Structural variant detection: Facilitates identification of structural variants through improved long-read accuracy.
• Transcriptome analysis: Enables detailed transcriptome analyses, including improved isoform resolution using corrected long reads.

Methodology:

Hybrid correction strategy integrating SMRT long reads and high-quality short reads.