Year: 2015
Type: article
Abstract: Since its inception, MCP has recognized the promise of proteomics and its underlying technologies to significantly move the boundaries of knowledge in biology and medicine. As has been noted (1), proteomics represented a paradigm shift in how experiments were designed and executed and how the resultant data were interpreted and stored. But the journal has also recognized that the value of the proteomic approach and the data generated were only as good as the quality and reliability of that data“a corollary of the computational maxim, “garbage in, garbage out.” Thus, in its very earliest stages, the editorial staff of MCP, particularly Steve Carr, Ruedi Aebersold, and Al Burlingame, began earnest discussions about how a journal should evaluate data arising from large scale, often called “shotgun,” mass spectrometric experiments, which ultimately lead to the first set of guidelines (2).
Source: Molecular & Cellular Proteomics
Institutions: University of California, San Francisco, Broad Institute
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,430
OpenAlex ID: W1954065082