BIOSPEAN: A Freeware Tool for Processing Spectra from MALDI Intact Cell/Spore Mass Spectrometry
Martin Raus and Marek Šebela*
Department of Protein Biochemistry and Protemics, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of Science, Palacký University, Šlechtitelu 11, CZ-783 71 Olomouc, Czech Republic
- *Corresponding Author:
- Marek Šebela
Department of Protein Biochemistry and Protemics
Centre of the Region Haná for Biotechnological and Agricultural Research
Faculty of Science, Palacký University
Šlechtitelu 11, CZ-783 71 Olomouc, Czech Republic
Tel: +420 585634927
Fax: +420 585634933
E-mail: [email protected]
Received date: October 07, 2013; Accepted date: November 25, 2013; Published date: November 28, 2013
Citation: Raus M, Šebela M (2013) BIOSPEAN: A Freeware Tool for Processing Spectra from MALDI Intact Cell/Spore Mass Spectrometry. J Proteomics Bioinform 6:282-287. doi:10.4172/jpb.1000292
Copyright: © 2013 Raus M, Šebela M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Here we introduce the software BIOSPEAN, which is applicable for processing of peptide/protein profiles obtained from MALDI intact cell/spore mass spectrometry. It has been developed as a web application using common technology. The BIOSPEAN automatically finds peaks in a mass spectrum. The peak detection principle involves a local scanning of intensity values around individual m/z positions. To cope with the level of noise, a threshold signalto- noise ratio is adjusted for filtering relevant results. Based on the detected peak pattern, a similarity search in a custom spectral database can subsequently be performed for sample identification. When a spectrum is analyzed by comparison with a database entry, a percentage score value is calculated from the number of identical peak positions found (they are assigned with an adjustable mass tolerance) divided by the number of all detected peaks in the analyzed spectrum. Each two spectra may also be compared in the opposite way and both score values averaged. The database search results are finally sorted in a table.