AI-enabled pipeline for virus detection, validation, and SNP discovery from next-generation sequencing data.

ABSTRACT:

Background and aims

The rapid and accurate detection of viruses and the discovery of single nucleotide polymorphisms (SNPs) are critical for disease management and understanding viral evolution. This study presents a pipeline for virus detection, validation, and SNP discovery from next-generation sequencing (NGS) data. The pipeline processes raw sequencing data to identify viral sequences with high accuracy and sensitivity by integrating state-of-the-art bioinformatics tools with artificial intelligence.

Methods

Before aligning the reads to the reference genomes, quality control measures, and adapter trimming are performed to ensure the integrity of the data. Unmapped reads are subjected to de novo assembly to reveal novel viral sequences and genetic elements.

Resu

SUBMITTER: Ghorbani A 

PROVIDER: S-EPMC11586335 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature