Such microsatellite SNP marker haplotype-based trait association analysis has already been implemented successfully for identification of genes/QTLs associated with infectious diseases in humans and seed shattering during rice domestication.
The proposed approach has been successfully implemented for the identification of the single-base mutant sequences in the human KRAS gene with a detection limit of 1.8 pM.
This approach was successfully implemented for the identification of performance-enhancing molecules that should be prohibited in sports [50], and for predicting multi-target bioactivities of potential polypharmacological compounds for treatment of neurological diseases [51].
The proposed approach has been successfully implemented for the identification of single base mutation at the −28 position in human β-globin gene with a detection limit of 0.5 fM, demonstrating that this method provides a highly specific, sensitive and cost-efficient approach for point mutation detection.
A similar approach was implemented for the identification of soybean HPts and RRs.
In order to implement improved strategies for identification of those at risk of PN and to formulate treatment strategies, one needs to understand the underlying biology at the neuronal level.
In the present study, standard taxonomic methods and microarray-based CGH analysis have been implemented for the identification and characterization of Lactobacillus sp. BL263 and four additional rat intestinal isolates (BL301, BL302, BL303 and BL304) displaying identical PCR-DGGE pattern.
Similar criteria were also implemented for de novo identification of ta-siRNAs.
The models implemented in PAML allow for identification of genes under positive selection (as well as specific sites that are under positive selection in a gene) even if the overall dN/dS ratio for a gene is < 1.
