Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing
peer-reviewed · Journal of Computational Biology · 2009
peer-reviewed · Journal of Computational Biology · 2009. Ritendra Datta et al. We report on a new algorithm for combining the information from several mass spectra of the same peptide. The…
| Date | 2009-08-01 |
| Type | peer-reviewed |
| Venue | Journal of Computational Biology |
| Publisher | SAGE Publications |
| Contribution | algorithm |
| DOI | 10.1089/cmb.2009.0122 |
| Citations (OpenAlex) | 41 |
| Venue 2-year citedness | 1.45 |
Abstract
We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that it can handle spectra from any instrument and fragmentation technique. We demonstrate the utility of the algorithm, and the power of multiple spectra, by showing that combining pairs of spectra (one CID and one ETD) greatly improves de novo sequencing success rates.
Methods and tools
- Spectrum Fusion: Combines several tandem mass spectra of the same peptide, acquired under different conditions or charge states, into one fused spectrum before de novo sequencing, which raises the success rate over sequencing any single spectrum.