This short video provides an overview of the Paragon algorithm, a novel search engine that enables a researcher to search and identify a broad range of proteins and post-translational modifications in a single search, without increasing false positives and not drastically impacting search time. Using the unique tag-based search and the sequence temperature value strategy with feature probabilities to manage search space, complex biology can be explored with confidence.
Reference on Paragon Algorithm: Shilov IV, Seymour SL, et al. (2007) The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra. Mol Cell Proteomics 6(9):1638-55.