Applying mass spectrometry-based proteomics to genetics, genomics and network biology
By M. Gstaiger, R. Aebersold. Nature reviews genetics, 2009
449 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/e3277bd94afcc3ccd0b2e798b54534a198991f20
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
- Miguel Andrade
- Oliver Kohlbacher
- Reinhard Schneider
- Hiroaki Kitano
- Nils Gehlenborg
- Ulrich Stelzl
- Alexey I. Nesvizhskii
- Alexander Goesmann
In Spectroscopy
- Oliver Kohlbacher
- Ulrich Stelzl
- Alexey I. Nesvizhskii
- R. Aebersold
- Eric W. Deutsch
- Fengchao Yu
- S. Haynes
- Matthias Mann
Citations in the corpus
- A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (2010, background): “This has enabled many powerful proteomic applications, including global analysis of post-translational modifications [3], large-scale reconstruction of protein interaction networks [4], and deep quantitative proteome profiling of model organisms [5].”
- A Directed Protein Interaction Network for Investigating Intracellular Signal Transduction (2011, background): “Large protein-protein interaction (PPI) networks can be generated by systematic yeast two-hybrid (Y2H) studies ( 9 ) or protein complex isolation and mass spectrometry approaches ( 10 ).”
- Visualization of omics data for systems biology (2010, background): “, a promising emerging technology is quantitative protein expression profiling based on mass spectrometr”