Sentence examples for markers with many from inspiring English sources

Third, the interspecific FST values were remarkably variable across markers, with many loci displaying low FST values (<0.02).

Secondly this may be due to the higher power for detecting LD when using markers with many alleles (e.g., microsatellites) as compared to biallelic SNP markers [ 37].

Previous genetic maps illustrated the uneven distribution of markers with many large gaps; on a recombinational scale, distal chromosomal regions tended to have lower marker density than the centromere regions (Rong et al. 2004).

Association of such markers with many traits including diseases like neuronal disorders [ 22] and cancers [ 24] in humans based on expansion/contraction of repeated tracts of microsatellites encoding aminoacid residues in the functional domains of proteins that changes their secondary structure and function has been demonstrated.

The association of genic microsatellite markers with many traits, including diseases like neuronal disorders and cancers in humans, based on the expansion/contraction of the repeated tracts of microsatellite encoding amino acid residues in the functional domain of proteins, has been well demonstrated.

Although this technique is still limited to only a few laboratories at this stage, barley consensus maps [ 35] have been constructed to link DArT markers with many SSR and RFLP markers which have been previously developed and applied widely in barley mapping studies and to provide plant breeders with practically useful molecular markers for improving barley waterlogging tolerance.

Progress will obviously require increased taxon sampling, but, more importantly, new markers, especially given that, in some ways, using mitochondrial genomes is similar to analyzing one marker with many loci [ 5].

The GNMS and CNMS markers with their many desirable genetic attributes, including high polymorphic potential and functional significance have efficiency to serve as candidate gene-based microsatellite markers in diverse genomics-assisted breeding applications in rice.

These methods expand the traditional single-marker-regression-based GWAS model for detecting few variants of large effect to multi-marker predictive models with many variants of small effect.

This region of chromosome 1, corresponding to approximately 128 to 151 cM on the consensus map, is within a marker interval associated with many fat and carcass traits in chickens [ 22, 24, 30, 43, 44].

In practise it might happen that this is not the case and some QTL are in LD with many markers (requires more smoothing) whereas others only with few markers (requires less smoothing).