Biological sequences are not just strings of letters — they behave as signals that carry patterns, constraints, and functional logic. When a sequence is transformed into a signal, its internal organization becomes measurable, allowing us to study how biological behavior emerges from encoded structure.

Through tools such as FFT, we can reveal hidden biological functionalities, regularities, periodicities, and interaction signatures that are not visible from the letters alone. These signal‑level features help explain why biological systems behave the way they do, and how function arises from sequence‑encoded information.

CADRC shares these short notes to help learners understand how mechanistic computation connects digital signal analysis with real biological meaning. Each note introduces a concept that shows how biology and computation meet at the level of sequence‑to‑signal thinking.

 Biological sequences are more than strings of letters — they behave like signals that carry patterns, rhythms, and constraints.