De Novo Peptide Sequencing Graph Algorithm (coded in Rust)

A brief overview of the algorithm:

1. Extract peaks from mass spectra [works].
2. Generate spectrum graphs with nodes (and additional node filtering) [works].
3. Generate mass decompositions aka. candidate masses (up to 1000 Da) [works].
4. Filter nodes with candidate masses [to be implemented].
5. Draw the edges of two nodes that share corresponding masses [to be implemented].
6. Perform optimal path finding [to be implemented].
7. Generate sequence candidates [to be implemented].
8. Simulate reference spectra based on candidates using a deep-learning model [to be implemented].
9. Score candidates based on experimental vs simulated mass spectra [to be implemented].