Sentence examples for approaches use sequence from inspiring English sources

Reverse genetic approaches use sequence information to identify candidate genes and then study the phenotype of the mutant alleles to determine gene function.

Many of the proposed approaches use sequencing by hybridisation (SBH) [4], [5], a technology based on the complementary nature of DNA to indirectly read a sequence.

For example, gene-expression studies should help to elucidate how symbiotic cnidarians respond to various stressors, whereas comparative genomics approaches using sequence data from cnidarians that are not symbiotic with dinoflagellates should help us understand how these symbioses evolved.

Furthermore, similar approaches using sequences of wild and cultivated sugar beet genotypes might be used to identify the domestication genes.

We evaluated the performance of our algorithm compared to existing approaches using sequence-tag data from the highly repetitive human genome.

This approach used sequence mining to generate frequent word sequences, which greatly reduced human labor in annotating polarity shifting patterns compared with annotating the original corpus directly.

This work shows that by applying a simple approach using sequence data from multiple core housekeeping loci, we can resolve those clusters, provided such clusters exist.

Our approach uses sequence information alone, which ensures its wider applicability in comparison to methods that rely on structural modeling (Zhou and Qin, 2007).

One of the findings of our study indicates that tissue gene expression is controlled by large sets of tissue TF pairs, which is in agreement with previously reported findings from an approach using sequence features of tissue-specific genes by Yu et al. [ 19].

The described computational approach (using sequence co-evolution to predict contacts between interacting proteins and to generate three-dimensional models of complex structures) appears to be quite successful and is an important contribution that is of interest to a broad audience.

We took the approach to use sequence conservation across species and prediction algorithms to identify additional zebrafish miRNAs.