An automated pipeline for high-throughput label-free quantitative proteomics

Weisser, Hendrik, Nahnsen, Sven, Grossmann, Jonas, Nilse, Lars, Quandt, Andreas, Brauer, Hendrik, Sturm, Marc, Kenar, Erhan +3 more·2013·Journal of Proteome Research

Cited by (159)

Items 101–159 of 159

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  24. Quantitative proteomic analysis of cerebrospinal fluid from patients with diffuse large B‑cell lymphoma with central nervous system involvement: A novel approach to diagnosis
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  27. A hybrid method for identification of structural domains
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  38. Comparison of early- and late-senescence near-isogenic barley germplasm : proteomics and biochemistry shed new light on an old problem
    Katelyn E. Mason · 2015 · Montana State University ScholarWorks (Montana State University)
  39. Improved LC-MS chromatographic alignment increases the accuracy of label-free quantitative proteomics: Comparison of spectral counting versus ion intensity-based proteomic quantification strategies
    Daniel Ng, Jonathan D. Humphries, Julian N. Selley, Stacey Warwood, David Knight, Adam Byron, Martin James Humphries · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
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  42. PEAKS - A Software Tool for Shotgun Label Free Proteomics with High Sensitivity and High Accuracy
    Xin Lei, Geoff Lumby, Hao Lin, M. Ziaur Rahman, Weiwu Chen, Baozhen Shan, Bin Ma · 2013
  43. Methods of processing mass spectrometry data to identify peptides and proteins
    E. I. Berizovskaya, A. A. Ichalaynen, A. M. Antochin, В. Ф. Таранченко, Valerii M. Goncharov, Д. А. Митрофанов, А. В. Удинцев, A. V. Aksenov, O. A. Shevlyakova, Игорь Александрович Родин et al. · 2015 · Moscow University Chemistry Bulletin
  44. Labeling and Label-Free Shotgun Proteomics Quantification in the Research of Cardiovascular Diseases
    Xiaomeng Shen, Shichen Shen, Jun Qu · 2016 · Springer eBooks
  45. Data Analysis for Data Independent Acquisition
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  47. Ecological Metabolomics: Challenges and Perspectives
    Sumira Jan, Parvaiz Ahmad · 2019 · Elsevier eBooks
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  50. UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis
    Eftychia Eva Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer, Timo T. Sachsenberg, Omkar S. Mohite, Matin Nuhamunada, Oliver Kohlbacher, Tilmann Weber · 2022 · ChemRxiv
  51. UmetaFlow: An untargeted metabolomics workflow for high-throughput data processing and analysis
    Eftychia Eva Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer, Timo T. Sachsenberg, Omkar S. Mohite, Matin Nuhamunada, Oliver Kohlbacher, Tilmann Weber · 2023 · ChemRxiv
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  53. On the question of correct use of replicates in quantitative label-free proteomics
    Leyla A. Garibova, Mikhail V. Gorshkov, Mark V. Ivanov · 2025 · Analytical and Bioanalytical Chemistry
  54. Additional file 1 of UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis
    Eftychia Eva Kontou, Axel Walter, Oliver Alka, Julianus Pfeuffer, Timo T. Sachsenberg, Omkar S. Mohite, Matin Nuhamunada, Oliver Kohlbacher, Tilmann Weber · 2023 · Figshare
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    Tabasum Ali, Ifat Jan, Rabiah Bashir, Ghulam Nabi Bader · 2026 · Elsevier eBooks
  56. Progress towards a better proteome characterization by quantitative mass spectrometry method development and proteogenomics
    Alvaro Sebastian Vaca Jácome · 2016 · theses.fr (ABES)
  57. MassGAT: a graph-based collective learning approach for untargeted detection and annotation of LC-MS data
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  59. Elucidation and Improvement of Algorithms for Mass Spectrometry Isotope Trace Detection
    Robert Allen Smith · 2014 · ScholarsArchive (Brigham Young University)