GENSCAN gene model prediction algorithm was used to predict introns and exons.
A GENSCAN gene model prediction algorithm [ 60] was used to predict introns and exons, and the resulting predictions were searched against the Uniref50 (clustered sets of sequences from UniProt Knowledgebase) database [ 61].
The repeat masked contig sequences were searched against NCBI nr database using both BLASTX searches and GENSCAN gene model prediction algorithm [ 36] to identify the genes in the assembled region.
Mathematical models, prediction algorithms and visualization tools (see for example Martino's work [107]) have recently shed light on this routine, allowing to construct better human displacement models which can be used to predict epidemics outbreaks.
Trainees develop and implement deployment, fusion, modeling, and prediction algorithms to integrate these measurements with GPS, seeking to detect air pollution sources and patterns for intelligent mitigation and decision making.
Searches of the algal genomes were carried out using the Department of Energy (DoE) Joint Genome Institute (JGI) database (http://genome.jgi.doe.gov) using the latest releases as of April 2014 of the dataset created with 'all models' gene prediction algorithms.
Overall, we conclude that, for the paradigmatic model, both previous prediction algorithms and BP are relatively successful in yielding accurate positional probabilities.
AD models can be regarded as prediction algorithms, statistical models that predict whether a compound is inside, or outside of the model domain.
The topology models based on prediction algorithms suggested that DGAT1 and ACAT had eight transmembrane domains and 15-17 exons, whereas DGAT2 had 1 or 2 transmembrane domains and 8 exons, similar to MGAT and AWAT.
Then, all gene models from the 6 prediction algorithms plus JIGSAW are put together and filtered to eliminate gene models having unrealistic introns.
