Sentence examples for genomic methods that from inspiring English sources

Comparative genomic methods that use patterns of evolutionary conservation to identify non-coding sequences with regulatory function have yielded many new vertebrate enhancers.

The sheer abundance and ecological importance of phage in most environments, coupled with limited knowledge of their genetic makeup, demands establishing genomic methods that can be applied at scale and implemented to decipher the genetic frameworks that drive phage biology.

ChIP-chip (sometimes referred to as ChIP-on-chip) and ChIP-seq are widely-used genomic methods that combine chromatin immunoprecipitation (ChIP) with microarrays and deep sequencing, respectively, to map protein-DNA interactions in vivo[ 1].

To understand how much added benefit the network provides in identifying the target genes, we considered two baseline genomic methods that only used linkage intervals, ignoring the network entirely.

However, in contrast it will be more difficult to estimate inbreeding with low coverage, but there may be other resources which can assist, e.g. pedigree information, or genomic methods that are based on runs of homozygosity [ 38] using SNPs with moderate coverage.

We have developed a new genomic method that ensures maximal coverage and thus maximal applicability of the peptide vaccine.

The genomic evaluation methods that were used included: univariate and bivariate GBLUP (using the early and late phenotypes for a given trait), GBLUP with a modified genomic relationship matrix [ 10], univariate BayesA, BayesB, and BayesCPi [ 11].

Similar outcomes in terms of increases in accuracy and genetic gain from double haploids and non-random mating are expected with other genomic evaluation methods that are currently used.

Tools originally designed for DNA motif discovery, such as HOMER [ 10] and MEME [ 11] are also expanding in their scope and offer an increasing diversity of genomic analysis methods that are exposed to the user not only in the form of a web server but also as tools that can integrate with the command line for automation.

Genomic prediction methods that predict a phenotype based on genome-wide single nucleotide polymorphisms (SNPs) may provide a suitable analytic tool [ 7, 8].

Furthermore, to better treat and prevent CVD we must implement comprehensive integrative functional genomic and proteomic methods that offer complementary and detailed information on the identity and function of additional factors that contribute to the regulation of plasma cholesterol levels.