Building ProteomeTools based on a complete synthetic human proteome
Building ProteomeTools based on a complete synthetic human proteome
We describe ProteomeTools, a project building molecular and digital tools from the human proteome to facilitate biomedical research. Here we report the generation and multimodal liquid chromatography-tandem mass spectrometry analysis of >330,000 synthetic tryptic peptides representing essentially all canonical human gene products, and we exemplify the utility of these data in several applications. The resource (available at http://www.proteometools.org) will be extended to >1 million peptides, and all data will be shared with the community via ProteomicsDB and ProteomeXchange.
- University of Zurich Switzerland
- ETH Zurich Switzerland
- Technical University of Munich Germany
- Thermo Fisher Scientific (United States) United States
- Thermo Fisher Scientific (Israel) Israel
Proteomics, Proteome, Genome, Human, Tandem Mass Spectrometry, Humans, Databases, Protein, Chromatography, Liquid
Proteomics, Proteome, Genome, Human, Tandem Mass Spectrometry, Humans, Databases, Protein, Chromatography, Liquid
6 Research products, page 1 of 1
- 2017IsAmongTopNSimilarDocuments
- 2025IsSupplementedBy
- 2020IsAmongTopNSimilarDocuments
- 2019IsAmongTopNSimilarDocuments
- 2017IsAmongTopNSimilarDocuments
- 2019IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).207 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
