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Tandem mass spectrometry is one of the most important tools for protein analysis. This work is focused on the development of new methods and algorithms for tandem mass spectrometry data analysis. A database search engine, MassMatrix, has also been developed that incorporates these methods and algorithms. The program is publicly available both on the web server at www.massmatrix.net and as a deliverable software package for personal computers. Three different scoring algorithms have been developed to identify and characterize proteins and peptides by use of tandem mass spectrometry data. In…mehr

Produktbeschreibung
Tandem mass spectrometry is one of the most important
tools for protein analysis. This work is focused on
the development of new methods and algorithms for
tandem mass spectrometry data analysis. A database
search engine, MassMatrix, has also been developed
that incorporates these methods and algorithms. The
program is publicly available both on the web server
at www.massmatrix.net and as a deliverable software
package for personal computers. Three different
scoring algorithms have been developed to identify
and characterize proteins and peptides by use of
tandem mass spectrometry data. In addition, a data
analysis method for identification of disulfide bonds
in proteins and peptides by tandem mass spectrometry
data has been developed and incorporated in
MassMatrix. By this new approach, proteins and
peptides with disulfide bonds can be directly
identified in tandem mass spectrometry with high
confidence without any chemical reduction and/or
other derivatization.
Autorenporträt
Hua Xu, Ph.D.: Studied Bioinformatics and Mass Spectrometry-Based
Proteomics at The Ohio State University. Research Specialist at
University of Illinois at Chicago.