Abstract
We study a method of mapping both mass spectra and sequences to feature vectors and the correlation between them. The method of calculating the feature vector from mass spectra is presented, together with a method for representing sequences. A correlation metric comparing both representations is studied. It shows strong correlation between two representation for the same peptides. It also demostrates that the effect of correlation is increased by using the longer sequences induced from the theoretical mass spectra. The method provides a promising step towards de novo sequencing. © Springer-Verlag Berlin Heidelberg 2005.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science|Lect. Notes Comput. Sci. |
Editors | M. Gallagher, J. Hogan, F. Maire |
Publisher | Springer Nature |
Pages | 390-397 |
Number of pages | 7 |
Volume | 3578 |
Publication status | Published - 2005 |
Event | 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005 - Brisbane Duration: 1 Jul 2005 → … |
Conference
Conference | 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005 |
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City | Brisbane |
Period | 1/07/05 → … |