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Using Laboratory Information Management Systems as central part of a proteomics data workflow.
Proteomics. 2010 Mar;10(6):1230-49. doi: 10.1002/pmic.200900420.
Proteomics. 2010.
PMID: 20077413
Review.
Peek a peak: a glance at statistics for quantitative label-free proteomics.
Podwojski K, Eisenacher M, Kohl M, Turewicz M, Meyer HE, Rahnenführer J, Stephan C.
Podwojski K, et al.
Expert Rev Proteomics. 2010 Apr;7(2):249-61. doi: 10.1586/epr.09.107.
Expert Rev Proteomics. 2010.
PMID: 20377391
Review.
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Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data.
Schork K, Podwojski K, Turewicz M, Stephan C, Eisenacher M.
Schork K, et al. Among authors: podwojski k.
Methods Mol Biol. 2021;2228:1-20. doi: 10.1007/978-1-0716-1024-4_1.
Methods Mol Biol. 2021.
PMID: 33950479
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Retention time alignment algorithms for LC/MS data must consider non-linear shifts.
Podwojski K, Fritsch A, Chamrad DC, Paul W, Sitek B, Stühler K, Mutzel P, Stephan C, Meyer HE, Urfer W, Ickstadt K, Rahnenführer J.
Podwojski K, et al.
Bioinformatics. 2009 Mar 15;25(6):758-64. doi: 10.1093/bioinformatics/btp052. Epub 2009 Jan 28.
Bioinformatics. 2009.
PMID: 19176558
Item in Clipboard
Important issues in planning a proteomics experiment: statistical considerations of quantitative proteomic data.
Podwojski K, Stephan C, Eisenacher M.
Podwojski K, et al.
Methods Mol Biol. 2012;893:3-21. doi: 10.1007/978-1-61779-885-6_1.
Methods Mol Biol. 2012.
PMID: 22665290
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Identification of core components and transient interactors of the peroxisomal importomer by dual-track stable isotope labeling with amino acids in cell culture analysis.
Oeljeklaus S, Reinartz BS, Wolf J, Wiese S, Tonillo J, Podwojski K, Kuhlmann K, Stephan C, Meyer HE, Schliebs W, Brocard C, Erdmann R, Warscheid B.
Oeljeklaus S, et al. Among authors: podwojski k.
J Proteome Res. 2012 Apr 6;11(4):2567-80. doi: 10.1021/pr3000333. Epub 2012 Mar 23.
J Proteome Res. 2012.
PMID: 22375831
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