@Article{palagi06proteome,
  author    = {Patricia M. Palagi and Patricia Hernandez and Daniel Walther and Ron D. Appel},
  title     = {Proteome informatics {I}: Bioinformatics tools for processing experimental data},
  journal   = {Proteomics},
  year      = {2006},
  volume    = {6},
  pages     = {5435--5444},
  abstract  = {Bioinformatics tools for proteomics, also called proteome informatics tools, span today a large panel of very diverse applications ranging from simple tools to compare protein amino acid compositions to sophisticated software for large-scale protein structure determination. This review considers the available and ready to use tools that can help end-users to interpret, validate and generate biological information from their experimental data. It concentrates on bioinformatics tools for 2-DE analysis, for LC followed by MS analysis, for protein identification by PMF, by peptide fragment fingerprinting and by de novo sequencing and for data quantitation with MS data. It also discloses initiatives that propose to automate the processes of MS analysis and enhance the quality of the obtained results.},
  comment   = {proteomics review, very boring and shallow},
  doi       = {10.1002/pmic.200600273},
  file      = {PalagiEtAl_ProteomeInformaticsI_Proteomics_2006.pdf:2006/PalagiEtAl_ProteomeInformaticsI_Proteomics_2006.pdf:PDF},
  keywords  = {MS; Mass Spectrometry; computational MS; proteomics; peptides;},
  owner     = {apervukh},
  timestamp = {2009.06.03},
}

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