Sentence examples for genome discrimination from inspiring English sources

Symbol L was proposed for tomato (section Lycopersicon) on the bases of preferential chromosome pairing and clear-cut parental genome discrimination by using genomic in situ hybridization (GISH) and LLEE or artificial amphidiploids of tomato and S. etuberosum [ 11].

PCR without restriction digestion was inferior to PCR-RFLP and SNPs for genome discrimination of the viruses examined, although in additional analyses of bacterial genomes, PCR without digestion was adequate for complete genome discrimination (unpublished).

Similar to Nicotiana allopolyploids, the efficiency of genome discrimination decreases in the cases of tetraploid and hexaploid wheat, likely due to increased cross-hybridisation of the BAC_2383A24 (B-genome) repeats and Ae. tauschii genomic DNA with chromosomes from homoeologous genomes.

This clear genome discrimination of the chromosome subsets from the corresponding parental genomes in the tetraploids was possible without the need of any unlabelled blocking DNA, which is normally used to avoid cross-hybridization between a specific probe from one genome and homologous DNA sequences from another genome.

The minimum length of conserved upstream and downstream bases was selected to be 7 because it enabled a finer level of genome discrimination than did 12-mers (which would correspond with Affymetrix chip 25-mers with the central base being either a perfect match or a mismatch).

This one-tube duplex RT-PCR system with primers designed from the conserved regions of the genome allowed discrimination between the two viral groups.

Thus, this simulation demonstrated the possibility of genome constitution discrimination for accessions when the ploidy level had been previously determined.

These restrictions are justified, as a leak of genetic information can cause genome-based discrimination when more health-related patterns have been discovered.

Our study demonstrates that applying advanced classification algorithms to appropriately pre-processed ChIP-Seq data results in greatly improved prediction accuracy and feature interpretative yield in genome-wide discrimination between histone modifications.

We set out to develop a genome chip for discrimination of bacteria without prior knowledge of gene targets or specific probe design.

The current molecular marker technologies have characteristics which additionally affect the level of genome coverage, their discrimination ability, reproducibility and technical and time demand.