Proteomics to study genes and genomes
By A. Pandey, Matthias Mann. Nature, 2000
2,300 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/0efb2a2f3abdf35a41933da3eb17ce1d80612561
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
- Matthias Mann
- R. Aebersold
- John R. Yates III
- Shao-En Ong
- Juri Rappsilber
- C. Ruse
- A. Nakorchevsky
- Jüergen Cox
In Spectroscopy
- Matthias Mann
- John R. Yates III
- R. Aebersold
- Shao-En Ong
- Jüergen Cox
- C. Ruse
- A. Nakorchevsky
- Juri Rappsilber
Citations in the corpus
- Spikelet Proteomic Response to Combined Water Deficit and Heat Stress in Rice (Oryza sativa cv. N22) (2011, background): “, proteins (Abbott 1999; Pandey and Mann 2000; Zivy and de Vienne 2000), because of alternative splicing and post-translational modifications (Komatsu 2005).”
- Adaptive computation and machine learning (1998, background): “One of the major tasks within bioinformatics in the postgenome era will be to find out what the genes really do in concerted action, either by simultaneous measurement of the activity of arrays of genes or by analyzing the cell’s protein complement [408, 360, 413].”
- Proteomics: the first decade and beyond (2003, methodology): “Mass spectrometry–based proteomics is also rapidly becoming the method of choice for analyzing functional protein complexe”
- Historical perspective of peptidomics (2014, background): “in the proteomics field [50,51] as the number of researchers becoming involved in that wide field has always been much larger than in peptidomics.”
- Scale-free networks in cell biology (2005, background): “proteomics have produced an incredible quantity of molecular interaction data, contributing to maps of specific cellular networks (Burge, 2001; Caron et al., 2001; Pandey and Mann, 2000).”