Sentence examples for expected gene models from inspiring English sources

As expected, gene models that are broadly expressed in all four developmental stages (i.e., housekeeping genes) evolve the slowest since they exhibit the lowest nucleotide substitution rates (fig. 3 B ).

Although such comparisons rely on many assumptions and may in addition suffer from a somewhat uncertain definition of the set of expected gene models, the losses of genes in G. salaris, as well as in tapeworms and flukes, appeared much higher than in other bilaterian lineages.

The expected gene diversity (HE) was compared with the expected gene diversity at mutation-drift equilibrium (HEQ) and calculated from the observed number of alleles under an intermediate two-phase model (TPM) assuming 30%% infinite allele model (IAM) and 70%% stepwise mutation model (SMM) (Di Rienzo et al. 1994).

We compared RNA-Seq reads to those expected from gene models of the Ensembl and Genscan databases.

The reductions in specific genes/gene families described above are in line with the more general observation that a large number of expected bilaterian gene models are absent in Neodermata (fig. 3).

Now that naturally occurring human genes can't be patented, expect gene testing companies to benefit broadly with lower-cost products across the board.

As expected, among these gene models, GSVIVT01025948001 (Embl: CAO16376) is an ortholog of the AGAMOUS-like 11 gene of Arabidopsis (AGL11 [ 33, 34]), with 75% amino acid identity (10% above other described orthologs, not shown) and 86% positive matches.

Given that these two duplicons are virtually identical, we expect all 26 gene models contained in each of these duplicons to be identical.

As expected, the number of gene models with no detectable sequence deviations shows an inverse relationship to the depth of transcript sequence coverage (Figure 2).

The contigs we obtained from low-coverage shotgun sequencing were short, as expected, such that few complete gene models are likely to be annotated from this data set.

Because collections of predicted transcripts only partially capture the complexity of real transcriptomes, we expect many of the variable gene models and associated polymorphisms not to be relevant in vivo.