ConsensuSV-ONT

ConsensuSV-ONT combines six structural variant callers and a convolutional neural network to enable accurate structural variant calling from Oxford Nanopore sequencing data.

Key Features:

• Consensus-based SV calling: Integrates six independent, state-of-the-art structural variant callers for long-read sequencing to identify high-quality, reliable structural variants.
• Convolutional neural network filtering: Employs a convolutional neural network to filter and retain high-quality structural variants from the combined caller outputs.
• Nextflow pipeline: Implements the analysis workflow as a Nextflow pipeline enabling efficient processing using parallel computing.
• Docker containerization: Provides a runtime environment as a Docker image for reproducible execution.

Scientific Applications:

• Oxford Nanopore long-read sequencing analysis: Supports accurate detection of structural variants from Oxford Nanopore sequencing data for downstream analysis.

Methodology:

The method uses six independent structural variant callers for long-read sequencing along with a convolutional neural network for filtering high-quality variants, implemented within a Nextflow pipeline.