Sentence examples for more efficient genome from inspiring English sources

The emergence of next-generation sequencing technologies has enabled more efficient genome sequencing at a significantly lower cost than ever before and has provided the community with the opportunity to find genome-wide DNA polymorphisms for genetic studies.

Our analysis also implied that the bioinformatics utilities (IrysView packages) had much room for further improvement for more efficient genome map applications.

New more efficient genome-editing methods (Jinek et al., 2012) will also enable the direct testing of the effects of wild alleles on phenotypes.

Nevertheless, further investigation into the underlying differences between MPH1 and MPH2, and differences between their donor monkeys may not only aid in our understanding of the haploidy maintenance, but also yield clues for improving the maintenance of haploid cells in vitro, allowing more efficient genome-wide screenings.

The whole genome capture technique will enable more efficient whole genome analysis of P. vivax from a larger geographic region and from valuable archived sample collections.

The dual expression of gRNAs/SaCas9 in these cell lines resulted in more efficient HBV genome cleavage.

Medium-sized (5, 8 or 15 kb) MP libraries were much more efficient for genome structure analysis than the more commonly used shorter insert paired-end and 3 kb MP libraries.

As it is advantageous to have genes under strong selection in regions of high recombination where selection is more efficient, this genome organization may be selected for over time.

The idea to develop a multiparental recombinant inbred panel was conceived more than 10 years ago in response to a challenge positing that discovering the genetic basis of complex traits would be more efficient using genome-wide mutagenesis (Nadeau and Frankel 2000), which at the time was undergoing a renaissance.

The smaller size and repeat content of this genome will facilitate the more efficient assembly of this genome in a genome sequencing effort.

Between 70 and 80%% of all reads map back to the region of interest in our 284 study group samples providing good coverage across 98.5%% of the interval, making the capture approach considerably more efficient than whole genome sequencing.