iPQF: a new peptide-to-protein summarization method using peptide spectra characteristics to improve protein quantification | Zendy

Martina Fischer | Zendy; Bernhard Y. Renard | Zendy

Open Access

iPQF: a new peptide-to-protein summarization method using peptide spectra characteristics to improve protein quantification

Author(s) -

Martina Fischer,

Bernhard Y. Renard

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv675

Subject(s) - automatic summarization , peptide , weighting , computer science , reliability (semiconductor) , feature (linguistics) , data mining , inference , quantitative proteomics , computational biology , pattern recognition (psychology) , biological system , artificial intelligence , proteomics , chemistry , biology , physics , biochemistry , power (physics) , linguistics , philosophy , quantum mechanics , acoustics , gene

Isobaric labelling techniques such as iTRAQ and TMT are popular methods for relative protein abundance estimation in proteomic studies. However, measurements are assessed at the peptide spectrum level and exhibit substantial heterogeneity per protein. Hence, clever summarization strategies are required to infer protein ratios. So far, current methods rely exclusively on quantitative values, while additional information on peptides is available, yet it is not considered in these methods.

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