Document Detail


Data Visualization and Feature Selection Methods in Gel-based Proteomics.
MedLine Citation:
PMID:  24555897     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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. 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. Visual examples are given using a real gel-based proteomic dataset as basis.
Authors:
Tomé S Silva; Nadège Richard; Jorge P Dias; Pedro M Rodrigues
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-2-20
Journal Detail:
Title:  Current protein & peptide science     Volume:  -     ISSN:  1875-5550     ISO Abbreviation:  Curr. Protein Pept. Sci.     Publication Date:  2014 Feb 
Date Detail:
Created Date:  2014-2-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100960529     Medline TA:  Curr Protein Pept Sci     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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