News Column

New Proteomics Data Have Been Reported by Researchers at University of Algarve

June 17, 2014

By a News Reporter-Staff News Editor at Life Science Weekly -- Research findings on Proteomics are discussed in a new report. According to news reporting out of Faro, Portugal, by NewsRx editors, research stated, "Despite the increasing popularity of gel-free proteomic strategies, two-dimensional gel electrophoresis (2DE) is still the most widely used approach in top-down proteomic studies, for all sorts of biological models. In order to achieve meaningful biological insight using 2DE approaches, importance must be given not only to ensure proper experimental design, experimental practice and 2DE technical performance, but also a valid approach for data acquisition, processing and analysis."

Our news journalists obtained a quote from the research from the University of Algarve, "This paper reviews and illustrates several different aspects of data analysis within the context of gel-based proteomics, summarizing the current state of research within this field. Particular focus is given on discussing the usefulness of available multivariate analysis tools both for data visualization and feature selection purposes."

According to the news editors, the research concluded: "Visual examples are given using a real gel-based proteomic dataset as basis."

For more information on this research see: Data visualization and feature selection methods in gel-based proteomics. Current Protein & Peptide Science, 2014;15(1):4-22. (Bentham Science Publishers -; Current Protein & Peptide Science -

Our news journalists report that additional information may be obtained by contacting T.S. Silva, CIMAR, CCMAR, Centre of Marine Sciences of Algarve, University of Algarve, Campus de Gambelas, 8005-139, Faro, Portugal. Additional authors for this research include N. Richard, J.P. Dias and P.M Rodrigues (see also Proteomics).

Keywords for this news article include: Faro, Europe, Portugal, Proteomics, Information Technology, Information and Data Modeling.

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Source: Life Science Weekly

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