Million scale nearest neighbor search for mass spectra using different spectral representations

In this project, we will aim to develop algorithms that can effectively and efficiently search large-scale mass spectral databases to improve further identification and annotation of chemical compounds. The development will be based on the existing search tools, such as Mass Search Tool and various spectral representations. To accomplish this, the project will need to extensively explore various indexing and search algorithms, optimize them if needed, and utilize optimal spectral representation.