Sentence examples for microsatellites for identifying from inspiring English sources

Due to their high coverage across the genome, ease of genotyping, and direct relationship with underlying gene function, SNPs represent an improvement over conventional markers such as AFLPs and microsatellites for identifying genome-wide patterns of adaptive genetic variation [ 21].

Prior methods for identifying microsatellites in nonhuman primates are inefficient.

The procedure for identifying microsatellites from aDNA has already been established [2], so the two major challenges in the present study were: 1) to identify and characterise a sufficient number of useable and polymorphic loci to yield informative data and 2) to investigate whether data quality was compromised by having been generated from LCN aDNA templates.

In the present study, mononucleotide repeat motifs are excluded in our strategy for identifying microsatellites.

This result suggested that a DSP approach could be used for identifying microsatellites in Tuber species.

H O, observed heterozygosity; He, expected heterozygosity; *HWE, P < 0.05 We have developed a very simple and highly efficient method for identifying microsatellites from cDNA.

In all, 94% (51 out of 54) of the patients showed at least one AI, demonstrating that our selection of six microsatellites was highly informative for identifying rearranged primary osteosarcomas at diagnosis (Table 1).

The time-consuming and expensive process of developing enriched genomic libraries and the subsequent sequencing and seeking of the simple sequence repeats is now often replaced with data mining of expressed sequence tag (EST) libraries to give a rapid, efficient and low-cost alternative for identifying microsatellites in plant species.

Calculated exclusion probabilities showed that our microsatellite dataset was sufficient for identifying parents, and the addition of more markers is less likely to improve our estimates.

Tandem Repeat Occurrence Locator was used for identifying the microsatellites for genetic mapping.

These data are crucial for constructing comprehensive DNA microarrays, identifying single nucleotide polymorphisms and microsatellites in coding regions, and for identifying genes when the entire genome sequence of C. gigas becomes available.