S2P: A desktop application for fast and easy processing of 2D-gel and MALDI-based mass spectrometry protein data

Hugo López-Fernández, Jose E. Araújo, Daniel Glez-Peña, Miguel Reboiro-Jato, Florentino Fdez-Riverola, José L. Capelo-Martínez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

2D-gel electrophoresis is widely used in combination with MALDI-TOF mass spectrometry in order to analyse the proteome of biological samples. It can be used to discover proteins that are differentially expressed between two groups (e.g. two disease conditions) obtaining thus a set of potential biomarkers. Biomarker discovery requires a lot of data processing in order to prepare data for analysis or in order to merge data from different sources. This kind of work is usually done manually, being highly time consuming and distracting the operator or researcher from other important tasks. Moreover, doing this repetitive process in a non-automated, handling-based manner is error-prone, affecting reliability and reproducibility. To overcome these drawbacks, the S2P, an AIBench based desktop multiplatform application, has been specifically created to process 2D-gel and MALDI-mass spectrometry protein identification-based data in a computer-aided manner. S2P is open source and free to all users at http://www. sing-group.org/s2p.

Original languageEnglish
Title of host publication11th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2017
PublisherSpringer Verlag
Pages1-8
Number of pages8
Volume616
ISBN (Print)978-331960815-0
DOIs
Publication statusPublished - 1 Jan 2017
Event11th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2017 - Porto, Portugal
Duration: 21 Jun 201723 Jun 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume616
ISSN (Print)2194-5357

Conference

Conference11th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2017
CountryPortugal
CityPorto
Period21/06/1723/06/17

Keywords

  • 2D-gel
  • Bioinformatics tools
  • Data processing
  • MALDI-TOF-MS
  • Mascot identifications
  • Open source
  • Protein data
  • Protein identification

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