Computational Mass Spectrometry–Based Proteomics
نویسندگان
چکیده
منابع مشابه
Computational Mass Spectrometry–Based Proteomics
Proteomics is defined as the system-wide characterization of all the proteins in an organism in terms of their sequence, localization, abundance, post-translational modifications, and biomolecular interactions. Modern proteomic investigations are increasingly quantitative and comprehensive [1]. Examples include the relative quantification of over 4,000 proteins in haploid and diploid yeast, whi...
متن کاملMass Spectrometry and Computational Proteomics
Mass Spectrometry is the tool of choice for Proteomics, with applications to peptide sequencing, protein structure prediction, protein-protein interactions, and many others. Continued improvements in instrumentation and computational technologies will only help accelerate this trend. A short overview of algorithms for interpreting mass spectrometry (MS) data is provided. This overview is not in...
متن کاملComputational quality control tools for mass spectrometry proteomics.
As mass-spectrometry-based proteomics has matured during the past decade, a growing emphasis has been placed on quality control. For this purpose, multiple computational quality control tools have been introduced. These tools generate a set of metrics that can be used to assess the quality of a mass spectrometry experiment. Here we review which types of quality control metrics can be generated,...
متن کاملGetting Started in Computational Mass Spectrometry–Based Proteomics
Proteomics aims at a large-scale characterization of localization, abundance, post-translational modifications, and biomolecular interactions of the proteins in an organism, with the goal of understanding their function. An extensive insight can be obtained by identifying and quantifying the components of biological mixtures. For example, a) In studies of biomolecular networks, partners interac...
متن کاملCurrent trends in computational inference from mass spectrometry-based proteomics
Mass spectrometry offers a high-throughput approach to quantifying the proteome associated with a biological sample and hence has become the primary approach of proteomic analyses. Computation is tightly coupled to this advanced technological platform as a required component of not only peptide and protein identification, but quantification and functional inference, such as protein modification...
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ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2011
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002277