Preparing your results

Our searching services are busy right now. Your search will reload in five seconds.

Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

The PeptideAtlas project.

The completion of the sequencing of the human genome and the concurrent, rapid development of high-throughput proteomic methods have resulted in an increasing need for automated approaches to archive proteomic data in a repository that enables the exchange of data among researchers and also accurate integration with genomic data. PeptideAtlas ( addresses these needs by identifying peptides by tandem mass spectrometry (MS/MS), statistically validating those identifications and then mapping identified sequences to the genomes of eukaryotic organisms. A meaningful comparison of data across different experiments generated by different groups using different types of instruments is enabled by the implementation of a uniform analytic process. This uniform statistical validation ensures a consistent and high-quality set of peptide and protein identifications. The raw data from many diverse proteomic experiments are made available in the associated PeptideAtlas repository in several formats. Here we present a summary of our process and details about the Human, Drosophila and Yeast PeptideAtlas builds.

Pubmed ID: 16381952


  • Desiere F
  • Deutsch EW
  • King NL
  • Nesvizhskii AI
  • Mallick P
  • Eng J
  • Chen S
  • Eddes J
  • Loevenich SN
  • Aebersold R


Nucleic acids research

Publication Data

January 1, 2006

Associated Grants

  • Agency: NHLBI NIH HHS, Id: N01-HV-28179

Mesh Terms

  • Animals
  • Chromosome Mapping
  • Databases, Protein
  • Drosophila Proteins
  • Humans
  • Internet
  • Mass Spectrometry
  • Peptide Fragments
  • Proteome
  • Proteomics
  • Saccharomyces cerevisiae Proteins
  • Sequence Analysis, Protein
  • User-Computer Interface