The article discusses different ways to group biological sequences based on their similarities. It explains that traditional clustering methods can be slow for large DNA and protein sequences. The researchers outline validation methods and classical clustering techniques like hierarchical and partitional clustering. They also introduce new algorithms and graph-based methods specifically designed for biological sequences. Additionally, the article mentions distributed algorithms for sequence clustering and proposes a general method for graph partitioning in a distributed memory system.