Jules-Bertholet

> so 10x reads of every segment in the sample would give >99% accuracy for each base after aligning the reads with each other

This assumes random errors, which IIRC isn't the case for Oxford Nanopore.

Oxford Nanopore unfortunately has a high error rate (3-5%) compared to other sequencing technologies. And the errors are non-random

Location: Washington, DC Remote: Yes, hybrid and on-site also OK Willing to relocate: No Technologies: Full-stack, systems programming, data analysis. Rust, C, Java, Python, others Résumé/CV: https://raw.githubusercontent.com/Jules-Bertholet/cv/master/... Email: jules dot bertholet at gmail dot com LinkedIn: https://www.linkedin.com/in/jules-bertholet-09398b1bb/ GitHub: https://github.com/Jules-Bertholet/

Undergrad finishing year college, looking for an internship for the summer. I have experience with systems programming, especially in Rust (multiple open-source projects and contributions to the standard library). Also experienced in data analysis, especially in the biological sciences with multiple internships under my belt.