What are the Challenges of Long Read Sequencing in Epidemiology?
Despite its advantages, long read sequencing also presents several challenges:
1. Cost: Long read sequencing remains more expensive compared to short read technologies. This can limit its widespread adoption, especially in resource-limited settings.
2. Error Rates: Long read sequencing technologies generally have higher error rates compared to short read methods. However, advances in error correction algorithms and hybrid sequencing approaches are mitigating this issue.
3. Data Storage and Analysis: The large volume of data generated by long read sequencing requires substantial storage and computational resources for analysis. Effective bioinformatics tools and pipelines are essential to handle and interpret these data.
