Along the edge of the Saint-Remèze Plateau, the Rhône valley displays four benchmark levels generated by the MSC: the Pre-evaporitic abandonment surface (1), the Messinian erosional surface (2), the Marine/non-marine surface of the Pliocene ria (3) and the Pliocene abandonment surface (4).
In order to discriminate easily between conserved positions and SDPs using G s, a threshold was identified that distinguishes between these positions using a benchmark dataset generated by Chakraborty and Chakrabarti (2015) (Supplementary Section S2).
Using benchmark data generated by SHARP-P, we projected that a two-armed four-year trial to detect relative differences in cognitive deficits can be mounted with fewer than 1,000 participants (continuous outcome) or 2,000 participants (categorical outcome).
Scaled delta-distance, defined above as δ*√ n, is a statistical invariant for any benchmark sequence generated by a Markov chain exhibiting the same signature as the given sequence.
To assess statistical significance, 1000 repetitions of the benchmark dataset were generated by randomly shuffling the order of the assays and repeating the procedure described above.
To assess statistical significance, 1000 repetitions of the benchmark dataset were generated by randomly shuffling all components of the dataset (i.e. the order of the molecules, the set of neighbours) and repeating the procedure described above.
We benchmarked the solutions generated by using the permeability models with three common assumptions against our "accurate" solutions by using permeability models without these assumptions for the full spectrum of boundary conditions, and concluded that these common assumptions could produce unacceptable errors.
The 24 training data samples were randomly generated by benchmark functions from the interval <10,400> for both network models.
To demonstrate the feasibility and the effectiveness of the proposed approach, the actual basic event failure probabilities collected from the operational experiences of the David Besse design of the Babcock and Wilcox reactor protection system fault tree are used to benchmark the failure probabilities generated by the proposed approach.
For each of the 150 benchmark proteins, 20 models were generated by FRAGFOLD using three different predicted contact sets: PSICOV, MetaPSICOV stage 1 and MetaPSICOV stage 2 contacts (9000 models in total).
