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ModelTest v.3.0.6 [81] selected GTR+I+Γ [82] as the optimum model for sequence evolution based on Akaike's information criterion (AIC) for all partitions from the 123nRTn dataset.
It includes several options for selecting Markov order of the background model for sequence scanning.
Complex probabilistic models, like the one described in " Probabilistic model for sequence assembly", were previously used to compare the quality of several assemblies [ 11– 13].
We used the Tamura Nei +Gamma model for sequence evolution and the reptile-bird fossil based divergence time to calibrate the molecular clock.
The accepted model for sequence evolution posits two types of basic events leading to change over time in DNA or protein sequences: indels and mutations.
The mathematical calculations provide the conceptual foundation for the method and predict its performance given a basic evolutionary model for sequence divergence.
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Then, we propose an extended attention model for sequence-to-sequence RNNs designed to capture periods in time series with or without missing values.
The vintage de Havilland Tiger Moth appears as a scale model for sequences such as Alan and Tin-Tin's departure from Tracy Island and Brains' arrival on the top deck of Skyship One.
Based on the ParC structure, a new induced-fit model for sequence-specific recognition of the gate (G) segment by ParC has been proposed.
The best evolutionary model for sequences derived from each patient included a class allowing for positively selected codons (ω>1) in 18 of the 22 analyzed patients (Table 3).
Hammer is based on a combination of a Hamming graph and a simple probabilistic model for sequencing errors.
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