The overall challengeĬan be split into three main categories: (i) access to computational Resources and advanced computational skills. Knowledge, this often requires direct access to significant computational Large amounts of data, 1 and it is essentialĪnd analyzed in such a way that the researcher generating the dataĬan interpret its biological meaning correctly. Mass spectrometry-based proteomics generates The source code, additionalĭocumentation, and a fully functional demo is available at. Server, thus enabling researchers to process and interpret their ownĭata without requiring advanced bioinformatics skills or direct access The interaction with the results happens via a locally installed web Galaxy platform (through SearchGUI, PeptideShaker, and moFF), while Storage and processing of the data are performed via the versatile We present PeptideShaker Online, a user-friendly web-based frameworkįor the identification of mass spectrometry-based proteomics data,įrom raw file conversion to interactive visualization of the resultingĭata. The interpretation of data and the generation of new knowledge. A keyĮlement in simplifying this process is the development of interactiveįrameworks focusing on visualization that can greatly simplify both Processing, and interpreting these data can be a challenge. Generating ever-larger amounts of data per project. Proteomics is a high-throughput technology
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