DNA fragment length analysis using machine learning assisted vibrational spectroscopy

Abstract excerpt

DNA length analysis is essential for genomic workflows including next-generation sequencing and fragmentomics based diagnostics. Conventional approaches typically require large, expensive instrumentation and sample-destructive protocols with long processing times. Here we present a rapid, label-free approach integrating vibrational spectroscopy with deep learning to quantify DNA fragment length distributions. We d...

Topics

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• Algorithms
• Alkynes
• DNA
• DNA, Single-Stranded
• Machine Learning
• Mutation
• Neural Networks, Computer
• Spectrum Analysis, Raman

Identifiers and source

Literature Corpus work

8b98f674-784d-55c3-85a8-de8383b8ebee

DOI

10.64898/2026.02.27.708538