An Effective Algorithm for Peptide de novo Sequencing from Mixture MS/MS Spectra

peer-reviewed · Lecture Notes in Computer Science · 2014

peer-reviewed · Lecture Notes in Computer Science · 2014. Yi Liu et al.
Date 2014-06-23
Type peer-reviewed
Venue Lecture Notes in Computer Science
Publisher Springer International Publishing
Contribution algorithm
DOI 10.1007/978-3-319-08171-7_12
Citations (OpenAlex) 3
Venue 2-year citedness 1.54

Authors

  1. Yi Liu · University of Western Ontario, Western University
  2. Bin Ma · Rapid Novor Inc., University of Waterloo, University of Western Ontario, Western University
  3. Kaizhong Zhang · University of Western Ontario, Western University
  4. Gilles Lajoie · University of Western Ontario, Western University

Methods and tools

  • De novo sequencing of mixture spectra (Liu thesis): PhD work on identifying peptides from MIXTURE tandem mass spectra, where two or more peptides co-fragment: formulates the de novo problem for a mixture spectrum and solves it by dynamic programming.

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