Software:PeptideAtlas
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| - | [http://www.PeptideAtlas.org PeptideAtlas] is a catalog of peptide identifications derived from shotgun proteomics experiments. Data is accepted from any lab in the world, then uniformly processed using the [[Software:TPP|TPP]] to assign probabilities to peptide identifications. Because of the uniform processing, all experiments in PeptideAtlas are comparable to one another. | + | [http://www.PeptideAtlas.org PeptideAtlas] is a catalog of peptide identifications derived from shotgun proteomics experiments. Data is accepted from any lab in the world, then uniformly processed using the [[Software:TPP|TPP]] to assign probabilities to peptide identifications. Because of the uniform processing, the peptide identifications from all experiments in PeptideAtlas can be compared to one another. The uses of PeptideAtlas include: |
| + | * Seeing which proteins are found in various organisms, tissues, cell types, bodily fluids, and disease states | ||
| + | * Approximating protein abundance by counting how many spectra originated from a particular protein | ||
| + | * Finding proteotypic peptides for targeted proteomics protocols -- in other words, finding peptides that are detectable using mass spectrometry and that can uniquely identify a protein | ||
| ==Reference== | ==Reference== | ||
Revision as of 20:49, 8 October 2008
PeptideAtlas is a catalog of peptide identifications derived from shotgun proteomics experiments. Data is accepted from any lab in the world, then uniformly processed using the TPP to assign probabilities to peptide identifications. Because of the uniform processing, the peptide identifications from all experiments in PeptideAtlas can be compared to one another. The uses of PeptideAtlas include:
- Seeing which proteins are found in various organisms, tissues, cell types, bodily fluids, and disease states
- Approximating protein abundance by counting how many spectra originated from a particular protein
- Finding proteotypic peptides for targeted proteomics protocols -- in other words, finding peptides that are detectable using mass spectrometry and that can uniquely identify a protein
Reference
Eric W Deutsch, Henry Lam & Ruedi Aebersold: PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows,
