HIGHLIGHTS
- who: Databases and colleagues from the Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America, Department of Pharmaceutical Biosciences have published the research: Accurate Assignment of Significance to Neuropeptide Identifications Using Monte Carlo K-Permuted Decoy Databases, in the Journal: PLOS ONE | www.plosone.org of October/17,/2014
- what: This study shows the use Monte Carlo permutation testing to overcome the limitations of current protein identification approaches to accurately assess neuropeptide statistical significance. This study demonstrated the relative superiority of specific detection indicators for database search programs . . .
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