Journal of Data Mining in Genomics & Proteomics

Rovshan G. Sadygov

Publications

• Research Article
  Comparison of Programmatic Approaches for Efficient Accessing to mzML Files
  Author(s): Miroslaw J. Gilski and Rovshan G. SadygovMiroslaw J. Gilski and Rovshan G. Sadygov
  
  The Human Proteome Organization (HUPO) Proteomics Standard Initiative has been tasked with developing file formats for storing raw data (mzML) and the results of spectral processing (protein identification and quantification) from proteomics experiments (mzIndentML). In order to fully characterize complex experiments, special data types have been designed. Standardized file formats will promote visualization, validation and dissemination of data independent of the vendor-specific binary data storage files. Innovative programmatic solutions for robust and efficient data access to standardized file formats will contribute to more rapid wide-scale acceptance of these file formats by the proteomics community. In this work, we compare algorithms for accessing spectral data in the mzML file format. As an XML file, mzML files allow efficient parsing of data structures when using XML-specific.. View More»
  DOI: 10.4172/2153-0602.1000109

  Abstract PDF