swMATH ID: 35379
Software Authors: Dante Mantini, Francesca Petrucci, Damiana Pieragostino, Piero Del Boccio, Marta Di Nicola, Carmine Di Ilio, Giorgio Federici, Paolo Sacchetta, Silvia Comani, Andrea Urbani
Description: LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise. Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separation of protein signals from noise is required. In this paper, LIMPIC, a computational method for the detection of protein peaks from linear-mode MALDI-TOF data is proposed. LIMPIC is based on novel techniques for background noise reduction and baseline removal. Peak detection is performed considering the presence of a non-homogeneous noise level in the mass spectrum. A comparison of the peaks collected from multiple spectra is used to classify them on the basis of a detection rate parameter, and hence to separate the protein signals from other disturbances.
Homepage: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-8-101
Related Software: ExPASy; GenBank; UniProt; PhysioToolkit; Xilinx; FastICA; gcrma; Bioconductor
Cited in: 1 Publication

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