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PIUMS® - A new algo...
PIUMS® - A new algorithm for protein identification using peptide fingerprints
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- Samuelsson, Jim (author)
- BioBridge Computing, Lund, Sweden
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- Dalevi, Daniel (author)
- BioBridge Computing, Lund, Sweden
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- Aim, Rikard (author)
- Lund Graduate School of Biomedical Sciences/Biomol. Res., Lund, Sweden
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- Rögnvaldsson, Thorsteinn, 1963- (author)
- Högskolan i Halmstad,Halmstad Embedded and Intelligent Systems Research (EIS)
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- Potthast, Frank (author)
- AstraZeneca R and D, Mölndal, Sweden
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BioBridge Computing, Lund, Sweden Lund Graduate School of Biomedical Sciences/Biomol Res., Lund, Sweden (creator_code:org_t)
- Santa Fe : ASMS, 2002
- 2002
- English.
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In: Proceedings. - Santa Fe : ASMS. ; , s. 783-784
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
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- Piums®, a new protein identification tool for peptide fingerprints, is presented. Piums includes both a peak extraction tool (Pepex®) and a new protein scoring algorithm (Piped®). The basic ideas underlying the scoring algorithm are presented and it is demonstrated on some real sample spectra. It is shown, using simulated peak lists, how the scoring performance varies with contamination levels and protein sequence coverage, and that there is a boundary for when scoring is possible. Piums is fully scriptable and modularised. Each individual module can be used by itself, with input and output in XML format, to e.g. include it in an analysis chain. Piums is benchmarked against the Mascot software from Matrix Science LLC, The results indicate that Piums is more precise than the Mascot score, and about 5-10% more efficient than Mascot for real peak lists, for the same level of false positives.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- Peptide fingerprints
- Piums
- Protein identification
- Protein scoring algorithms
- Algorithms
- Computer simulation
- Computer software
- Contamination
- Database systems
- Monte Carlo methods
- Probability density function
- Vectors
- Proteins
Publication and Content Type
- ref (subject category)
- kon (subject category)
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