Sentence examples for models and sequence from inspiring English sources

However, SNAP does consider the composition of each sequence element in computing the likelihood of particular gene models, and sequence changes within these elements may affect the likelihood of alternative gene models or states (e.g. no gene) enough to alter SNAP's predictions.

Gene predictions and genome annotations were performed with the IMG pipeline [ 30], which uses a combination of Hidden Markov Models and sequence similarity searches.

On the basis of these models and sequence alignments, several amino acid residues located near the enzyme active site could be responsible for differences in selectivity.

The uncertainties from competing interpretations of the fossil record, through the choice of rate models and sequence partition strategies, to competing phylogenetic hypotheses all contribute to an evolutionary timescale that lacks sufficient precision to rule out many hypotheses.

Typical examples are that of chain matrix multiplication, string algorithms such as longest common subsequence, the Viterbi (1967) algorithm for hidden Markov models, and sequence alignment algorithms such as those of Needleman and Wunsch (1970) and Smith and Waterman (1981).

To confirm and refine secondary-structure models and sequence alignments, all examples for a particular IGR were subsequently combined and the process repeated beginning with the covariance model search to generate an RNA secondary structure that is well-supported by a large number of representatives (100 300 unique sequences).

From Table 2, we can see that the performance of all of these methods with different machine learning models and sequence-based feature representation methods are lower than ours, which indicates the advantages of our method.

All gene models and sequences were obtained from Ensembl [ 5], version 38.36 April 20066).

In PlnTFDB version 3.0 different protein models and sequences are further categorized into 84 different gene families.

Protein domain diagrams are attached as Additional file 2: Figure S1 while the new and patched gene models and sequences are detailed in Additional file 3: Figure S2.

RNNs are well known for their long memory and are widely used for dynamic system modeling and sequence prediction.