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This notwithstanding, attempts to use new marker technologies such as SNPs have already been carried out [ 26].
Several molecular marker technologies such as, RFLP, RAPD, DAF, SSR, SSLP, AFLP, CAPS, SNP have been discovered for molecular mapping experiments [ 1- 6].
In this context, we are also working towards integrating DArT markers with other high-throughput marker technologies such as SNP [ 14].
Highly multiplexed, hybridization-based marker technologies such as SFP, DArT and SNP have the potential to further 'collapse' the vector of genotypic differences between bulks into a single (perhaps replicated) whole-genome assay [ 2- 5].
Several barley consensus maps have been built with gel-based marker technologies such as Restriction Fragment Length Polymorphism (RFLP), Simple Sequence Repeats (SSR) and Amplified Restriction Fragment Length Polymorphism (AFLP) [ 7- 11].
Approaches to the use of data from molecular markers in genetic evaluation for predicting breeding values have undergone considerable development as dense genome-wide marker technologies, such as high-density, high-throughput SNP chips, have become available.
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Molecular marker technology, such as RFLP, RAPD, and AFLP, has been reported to be used in pineapple germplasm analysis; for example, Duval et al. [ 1] used RFLP marker in research on germplasm diversity of pineapple.
The research focus of this group concerns assessment of biological determinants of disease (biomarkers) in these biomaterials and the analysis of markers using genomic technologies (such as SNP arrays and next generation sequencing (NGS)).
Due to the insufficient throughput, accuracy and data standardization, the existing molecular marker-based technology, such as SSR marker fingerprinting, is of limited use.
[ 16, 30- 36] Because of mass spectrometry's peak interpretation and reproducibility challenges [ 37, 38], scientists have searched for breast cancer biomarkers from predefined collections of known candidate markers using newer multiplex technologies, such as reverse-phase protein microarray [ 39].
Reducing marker density may also reduce costs, either through genotyping with less costly low-density SNP marker panels, or through new technologies such as genotyping-by-sequencing.
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