Sentence examples for predictions that require from inspiring English sources

We also did not compare predictions from independent and coordinated coding models directly with experimental data and, as the reviewer notes, we did not distinguish predictions that require new experiments.

Unicellular marine cyanobacteria of these genera provide an excellent dataset for computational predictions that require comparative genome information since currently 22 different genome sequences from very closely related isolates are available [ 10, 11].

Unicellular marine cyanobacteria of these genera provide an excellent dataset for computational predictions that require comparative genome information since currently 19 different genome sequences from very closely related isolates are available.

MAPPIS is useful for certain applications such as function prediction that require recognition of conserved structural patterns of physico-chemical interactions.

Whether the cumulative specificity effect from more than one position in the peptide is additive or synergistic is a potentially important question for substrate prediction that requires further experimentation to answer.

Given the characteristic nucleotide preferences found around the gRNAs, it was possible to develop a method of gRNA prediction that requires no prior knowledge of mRNA sequence.

However, orthology prediction methods that require gene tree topologies for predicted orthologous groups to agree with trusted trees may fail on these data.

Clearly, the DSSIM and DSAD disparity maps would be difficult to apply in 3D visual discomfort prediction frameworks that require depth segmentation.

We show that the HaMStR results are consistent with those obtained with existing orthology prediction methods that require completely sequenced genomes.

A related issue is the presence of sequence fragments stemming from gene model errors; these can cause a subtree topology to disagree with a trusted species phylogeny with corresponding errors in phylogenetic orthology-prediction methods that require gene trees to agree with species phylogenies.

When aiming at quantitative predictions for materials that require huge system sizes in simulation – such as polymers – models at coarse-grained level are the natural choice.