SuperHirn – a novel tool for high resolution LC‐MS‐based peptide/protein profiling

By Lukas N. Mueller, Oliver Rinner, A. Schmidt, S. Letarte, Bernd Bodenmiller, Mi Youn Kim Brusniak, Olga Vitek, R. Aebersold, Markus Müller. Proteomics, 2007

349 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/a0b5792228dd3dbc4c7f296e2643e2cfc6573b7a

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Citations in the corpus

IPO: a tool for automated optimization of XCMS parameters (2015, methodology): “A number of software packages for processing LC-MS data have already been developed for data sets of samples that do not rely on labeling [3-12].”
Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline (2012, methodology): “Methods of this type include MSQuant (12), MaxQuant (13), Census (14), MASIC (15), SuperHirn (16), and Spectrum Mill (17), among others (for review see Ref.”
Less label, more free: Approaches in label‐free quantitative mass spectrometry (2011, methodology): “Other freely available software packages used for AUC quantitation include Corra [92], SuperHirn [93], and Serac [51].”
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial (2018, neutral): “In general, multi-run alignment is similar to what has already been developed and applied successfully for the analysis of DDA data (Prakash et al , 2006; Mueller et al , 2007; Cox et al , 2014).”
IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs (2020, methodology): “A mixture model (Equation (3)) is built using type 1 and −1 ions, and the expectation-maximization (EM) algorithm is used to fit the model and subsequently calculate the posterior probability.”
OpenMS – An open-source software framework for mass spectrometry (2008, methodology): “…which use open data formats and give the user much more control over the steps of the analysis, e.g. MapQuant [3], MASPECTRAS [4], msInspect [5], MzMine [6], SpecArray [7], The OpenMS Proteomics Pipeline (TOPP) [8], Trans-Proteomic Pipeline (TPP) [9], Viper [10], Superhirn [11] and XCMS [12].”