Co-sponsored by: IEEE Circuits and Systems Society Montreal Chapter, Department of Electrical and Computer Engineering of Concordia University, IEEE Solid State Circuits Society Montreal Chapter, IEEE Montreal Section, ReSMiQ

A fundamental task in proteomics is the characterization of all proteins in different biological samples. Today this task is mostly carried out by digesting the protein into peptides, and using mass spectrometry to identify each peptide computationally. De novo sequencing requires the derivation of the peptide’s amino acid sequence from its tande mass spectrum, without the assistance of a protein sequence database. It is the method of choice when the peptide is novel or mutated, and therefore not included in a known protein database. De novo sequencing is challenging in both its computational complexity and result accuracy.

In this talk, the experimental and computational methods for de novo peptide sequencing will be reviewed. A new de novo sequencing software tool, Novor will be introduced. Novor addresses both the computational complexity and result accuracy by using machine learning to construct its scoring function. It is significantly more accurate than other tools. It is also the first and only de novo sequencing software with a speed that exceeds today’s mass spectrometer’s throughput.

Speaker(s): DR. Bin Ma,

Location:
Room: EV003.309
Bldg: EV Buiding of Concordia University
1515 St.Catherine West
Montreal, Quebec
H3G 2W1