hh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Evaluation of a new probabilistic approach to scoring algorithms in protein identification by Peptide Mass Fingerprinting (PMF)
Institute of Biomedical Engineering and Instrumentation, Wroclaw University of Technology, Wroclaw, Poland.
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).ORCID-id: 0000-0001-5163-2997
2011 (engelsk)Inngår i: Nutraceutics, biomedical remedies and physiotherapeutic methods for prevention of civilization-related diseases / [ed] Halina Podbielska, Tadeusz Trziszka, Wroclaw, Poland: Indygo Zahir Media , 2011, s. 171-180Kapittel i bok, del av antologi (Annet vitenskapelig)
Abstract [en]

The protein identification performs a crucial role in the contemporary medicine. Proteins may act as the potential biomarkers for investigating many diseases, e.g. the civilization-related ones.  Peptide mass fingerprinting (PMF) is a widely used protein identification method basing on mass spectrometry data. Economical reasons and time savings are of great importance in the identification experiments. Thereby, innovative ideas, which have the potential to improve the PMF identification, are still desired. A novel probability-based scoring scheme, which constitutes the last part of the PMF identification procedure, was developed. Presented scoring scheme incorporates an innovative idea, which assumes a different approach to modelling the distribution of proteins derived from the database, on the basis of which the score is computed. In the paper we assess a performance of the proposed scoring method against popular scoring scheme, i.e. Mascot (http://www.matrixscience.com/). The comparison of the methods includes scoring results obtained for the simulated data. Different levels of proteins samples contamination and different coverage of peptides sequences were considered in the empirical study.

sted, utgiver, år, opplag, sider
Wroclaw, Poland: Indygo Zahir Media , 2011. s. 171-180
Serie
Acta Biomedical Engineering ; 4/2011
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-15090ISBN: 978-83-62276-03-5 OAI: oai:DiVA.org:hh-15090DiVA, id: diva2:417057
Tilgjengelig fra: 2011-05-14 Laget: 2011-05-14 Sist oppdatert: 2013-10-15bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Personposter BETA

Rögnvaldsson, Thorsteinn

Søk i DiVA

Av forfatter/redaktør
Rögnvaldsson, Thorsteinn
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 669 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf