Sequence Analysis

Sequence analysis aims to understand the structure and function of biological sequences like DNA and proteins, often for tasks like classification and denoising. Current research focuses on developing efficient and accurate methods, employing techniques such as nearest-neighbor searches coupled with dimensionality reduction, compression-based models leveraging normalized compression distance, and generative adversarial networks (GANs) to address data imbalance. These advancements improve the speed and accuracy of sequence analysis, impacting diverse fields including disease classification, drug discovery, and evolutionary biology.