DNA Sequence Classification based on Milvus

Mengjia Gu, a data engineer at Zilliz and open-source community member of Milvus, discusses the application of vector databases in DNA sequence classification. Traditional sequence alignment methods are unsuitable for large datasets, making vectorization a more efficient choice. The open-source vector database Milvus is designed to store vectors of nucleic acid sequences and perform high-efficiency retrieval, reducing research costs. By converting long DNA sequences into k-mer lists, data can be vectorized and used in machine learning models for gene classification. Milvus' approximate nearest neighbor search algorithm enables efficient management of unstructured data and recalling similar results among trillions of vectors within milliseconds. The author provides a demo showcasing the use of Milvus in building a DNA sequence classification system, highlighting its potential applications in genetic research and practice.