Detail publikace

Specification and simplified analyzing data from MS/MS spectrometry

Originální název

Specification and simplified analyzing data from MS/MS spectrometry

Anglický název

Specification and simplified analyzing data from MS/MS spectrometry

Jazyk

en

Originální abstrakt

The goal of this work was to design a suitable method for unifying score values from various identification tools of proteins identification in tandem mass spectrometry into a single score value. Output data from the mass spectrometric method were processed by two independent search tools Mascot and X!Tandem. Those were selected especially for their wide applications in proteomic laboratories. Results of both methods were evaluated through a newly designed function and unified to a single valued score that clearly identifies found proteins. The newly designed function of producing of scored values was termed Metascore and implemented into MATLAB computational environment. Given results were successfully tested on selected real data available in public databases of proteomic sequences

Anglický abstrakt

The goal of this work was to design a suitable method for unifying score values from various identification tools of proteins identification in tandem mass spectrometry into a single score value. Output data from the mass spectrometric method were processed by two independent search tools Mascot and X!Tandem. Those were selected especially for their wide applications in proteomic laboratories. Results of both methods were evaluated through a newly designed function and unified to a single valued score that clearly identifies found proteins. The newly designed function of producing of scored values was termed Metascore and implemented into MATLAB computational environment. Given results were successfully tested on selected real data available in public databases of proteomic sequences

BibTex


@inproceedings{BUT31402,
  author="Martin {Valla} and Martin {Plchút} and Ivo {Provazník}",
  title="Specification and simplified analyzing data from MS/MS spectrometry",
  annote="The goal of this work was to design a suitable method for unifying score values from various identification tools of proteins identification in tandem mass spectrometry into a single score value. Output data from the mass spectrometric method were processed by two independent search tools Mascot and X!Tandem. Those were selected especially for their wide applications in proteomic laboratories. Results of both methods were evaluated through a newly designed function and unified to a single valued score that clearly identifies found proteins. The newly designed function of producing of scored values was termed Metascore and implemented into MATLAB computational environment. Given results were successfully tested on selected real data available in public databases of proteomic sequences",
  address="IFMBE",
  booktitle="Proc. World Congress of Medical Physics and Biomedical Engineering",
  chapter="31402",
  howpublished="print",
  institution="IFMBE",
  year="2009",
  month="september",
  pages="1510--1512",
  publisher="IFMBE",
  type="conference paper"
}