👉 Biological math, also known as bioinformatics or mathematical biology, involves applying mathematical and computational methods to understand biological systems. It includes the use of differential equations to model population dynamics, such as how species evolve and interact within ecosystems. Statistical methods are crucial for analyzing genetic data, like DNA sequences, to infer evolutionary relationships and predict gene functions. Probability theory helps in understanding genetic variation and mutation rates, while linear algebra is used to analyze complex biological networks, such as protein interactions. These mathematical tools enable scientists to make precise predictions, test hypotheses, and uncover patterns that are not apparent through biological observation alone, bridging the gap between abstract mathematics and tangible biological phenomena.
