Sentence examples for maker prediction from inspiring English sources

Thirdly, for the regions without any MAKER prediction, non-overlapping gene models (supported with blast hits of ≥ 60% average identity and ≥80% query coverage) were picked; otherwise, the GeneMark-ES prediction was preferred.

We found that 12,133 MAKER predictions had no cognate hit in the Sm454EST dataset suggesting that they are not transcribed genes or, just as likely, deeper sequencing is required to identify them (see below).

MAKER was run iteratively to train the SNAP (Korf 2004) gene predictor in a bootstrap fashion to improve the predictor's performance, and final MAKER predictions were made using the trained SNAP as well as Augustus trained with the zebrafish species model.

Rather than relying on the gut instincts of a single decision-maker, prediction markets tap the collective intelligence of everyone playing the market.

Coppolino and Ackerson [ 23] recorded the responses of 100 elective cardiac surgery patients to two hypothetical research trials, and compared the responses with the patients' surrogate decision makers' predictions.

Transcript contigs, protein sequences from multiple fungal species, and ab initio gene predictions were included as evidence sources in the Maker gene prediction pipeline, resulting in 6,992 consensus gene models.

A handful of other transcripts (labeled in the phylogenetic tree by the mk4 names given to them by the Maker gene prediction program in SmedGD [ 51]) shared some sequence similarity with this family but did not contain the Importin-β binding domain (Fig.  4b) and could not be detected by in situ hybridization, suggesting that they are not functional homologs.

Functional annotation was added to the MAKER gene predictions using BLASTP against the NCBI fungal RefSeq protein database [ 36].

The peptide sequences corresponding to both sets of MAKER gene predictions were searched for conserved protein domains using Interproscan with default parameters [ 68] against the Interpro protein signature database.

BEN MCGRATH: I'm not a great prediction maker, but I should admit here that I wasn't so bothered by the ump's call on the perfect game.

Gene and protein models were derived from evidence-based predictions using MAKER software after initially assessing gene predictions from Augustus and MAKER.