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Table 3 Categorization of peptide sets

From: Characterization of oligopeptide patterns in large protein sets

Peptide set Kingdom Filter Top 100 by
POP A ≥ 10 in A, ≤ 2 in rand. A Freq. in orig. A
  B ≥ 10 in B, ≤ 2 in rand. B Freq. in orig. B
  E ≥ 10 in E, ≤ 2 in rand. E Freq. in orig. E
NEP A ≤ 2 in A, ≥ 10 in rand. A Freq. in rand. A
  B ≤ 2 in B, ≥ 10 in rand. B Freq. in rand. B
  E ≤ 2 in E, ≥ 10 in rand. E Freq. in rand. E
ORP A ≥ 10 in A, ≤ 2 in B+E Freq. in orig. A
  B ≥ 10 in B, ≤ 2 in A+E Freq. in orig. B
  E ≥ 10 in E, ≤ 2 in A+B Freq. in orig. E
URP A ≤ 2 in A, 10 in B+E Freq in orig. B+E
  B ≤ 2 in B, 10 in A+E Freq in orig. A+E
  E ≤ 2 in E, 10 in A+B Freq in orig. A+B
  1. The peptide sets POP, NEP, ORP and URP (for archaea (A), bacteria (B) and eukaryota (E), respectively) were generated by an initial filtering step selecting peptides occurring at least 10 times in one set and at most twice in another, as detailed in the table, then the 100 highest ranked peptide patterns were extracted according to the parameter settings. orig, original; rand, randomized.