Sentence examples for models gene prediction from inspiring English sources

Additionally, we used GeneMark Heuristic Models gene prediction [ 76], and NCBI's ORF Finder [ 77] to examine the sequence.

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.

Previous work in applying Markov models to gene prediction have shown them to be the most useful models for describing protein coding sequences [ 37, 38], and are important in the majority of current gene prediction programs.

Updates of gene models and gene prediction pipelines from different sources have compounded this problem.

Therefore, scaffolds smaller than 2 kbp were skipped in order to reduce the false positive errors and fragmented gene models in gene prediction.

Clearly, there are still changes to expect on the status of pseudogenes or genes for members of the C2H2-ZNF family in years to come based on the release of improved genome assemblies and detailed manual curation of individual genes for improved gene model and gene prediction.

To complement the Cufflinks-generated gene models, ab initio gene prediction programs were used to generate additional gene models from the reference genomic sequence (Additional file 1: Figure S1A).

Other studies developed models for direct gene prediction from EST data.

As hidden markov model (HMM) gene predictions are expected to be sensitive primarily to local perturbations, these results lend confidence to the synthetic association study method.

Also, an evaluation algorithm has been used to compare the modified model with most gene prediction methods currently available in terms of sensitivity, specificity and precision.

TigrScan and GlimmerHMM are Generalized Hidden Markov Model, ab initio gene prediction methods.