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Volume 13 Supplement 16

Statistical mass spectrometry-based proteomics

Research and reviews

Edited by Predrag Radivojac and Olga Vitek

This supplement did not receive any external funding

  1. Content type: Research

    Automated database search engines are one of the fundamental engines of high-throughput proteomics enabling daily identifications of hundreds of thousands of peptides and proteins from tandem mass (MS/MS) spec...

    Authors: Kyowon Jeong, Sangtae Kim and Nuno Bandeira

    Citation: BMC Bioinformatics 2012 13(Suppl 16):S2

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  2. Content type: Research

    Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) is widely used for quantitative proteomic investigations. The typical output of such studies is a list of identified and quantified peptid...

    Authors: Timothy Clough, Safia Thaminy, Susanne Ragg, Ruedi Aebersold and Olga Vitek

    Citation: BMC Bioinformatics 2012 13(Suppl 16):S6

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  3. Content type: Research

    Selected reaction monitoring (SRM)-based proteomics approaches enable highly sensitive and reproducible assays for profiling of thousands of peptides in one experiment. The development of such assays involves ...

    Authors: Sven Nahnsen and Oliver Kohlbacher

    Citation: BMC Bioinformatics 2012 13(Suppl 16):S8

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  4. Content type: Research

    Multiple reaction monitoring mass spectrometry (MRM-MS) with stable isotope dilution (SID) is increasingly becoming a widely accepted assay for the quantification of proteins and peptides. These assays have sh...

    Authors: D R Mani, Susan E Abbatiello and Steven A Carr

    Citation: BMC Bioinformatics 2012 13(Suppl 16):S9

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  5. Content type: Research

    Quantitative proteomics now provides abundance ratios for thousands of proteins upon perturbations. These need to be functionally interpreted and correlated to other types of quantitative genome-wide data such...

    Authors: Juergen Cox and Matthias Mann

    Citation: BMC Bioinformatics 2012 13(Suppl 16):S12

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  6. Content type: Review

    As it is the case with any OMICs technology, the value of proteomics data is defined by the degree of its functional interpretation in the context of phenotype. Functional analysis of proteomics profiles is in...

    Authors: Marina Bessarabova, Alexander Ishkin, Lellean JeBailey, Tatiana Nikolskaya and Yuri Nikolsky

    Citation: BMC Bioinformatics 2012 13(Suppl 16):S13

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2017 Journal Metrics

  • Citation Impact
    2.213 - 2-year Impact Factor
    3.114 - 5-year Impact Factor
    0.878 - Source Normalized Impact per Paper (SNIP)
    1.479 - SCImago Journal Rank (SJR)


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