A quantitative analysis software tool for mass spectrometry–based proteomics

By S. K. Park, John D. Venable, Tao Xu, John R. Yates III. Nature Methods, 2008

389 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/7aabca0090700b23b6d03106556e623486b6ef91

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. John R. Yates III
2. Michael J. MacCoss
3. C. Ruse
4. A. Nakorchevsky
5. Christine C. Wu
6. Brendan MacLean
7. E. Verdin
8. C. R. Kahn

In Spectroscopy

1. John R. Yates III
2. Michael J. MacCoss
3. C. Ruse
4. A. Nakorchevsky
5. Christine C. Wu
6. Brendan MacLean
7. Alexey I. Nesvizhskii
8. R. Aebersold

Citations in the corpus

• 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.”
• Proteomics by mass spectrometry: approaches, advances, and applications. (2009, methodology): “One such solution is Census, a software tool for analyzing quantitative MS data (189).”