Deep learning with PyTorch offers a compelling opportunity for DNA sequence modeling, but it comes with a distinct set of challenges—especially for those transitioning from more standard domains like computer vision or natural language processing. DNA is not just another kind of sequence data: it encodes intricate biological rules and structural constraints that require careful representation, specialized architectures, and deep domain insight.