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Third, a pilot project to pave a way for a large-scale discovery of mammalian transcriptomes is of essence, where cell and tissue types are well defined.
The next major step after a large-scale discovery phase is selection of the most promising candidates and verification in individual samples by more elaborate quantification methods.
We report here on the use of a reduced representation library strategy combined with next generation Illumina sequencing for rapid and large scale discovery of SNPs in eight flax genotypes.
Thus, direct miRNA cloning is not well suited to large scale discovery efforts and may have already reached the point of diminishing returns [7].
For large scale discovery and typing of copy number differences, array-based methods, such as the ones used in this paper are clearly the most efficient.
Large scale discovery of SNPs in the genome of the wild mallard might also provide a useful set of markers in the descendant, closely related domesticated duck (Anas platyrhynchos domestica).
Organoids with patient-specific disease information can also be generated for pathophysiology study, and can be expanded in a large scale for discovery of personalized treatment through high-throughput screenings (A).
Previously, within a large scale SNP discovery project [24], a large data set of ∼380 million sequences were generated from pooled reduced representation libraries (RRLs) of Large White, Landrace, Duroc and Pietrain and the wild boar using the Genome Analyzer (GA, Illumina).
Whereas RT PCR interrogation of archival FFPET has proven to be a reliable tool and is widely used (Cronin et al, 2004), this approach is unsuitable for large scale discovery-based investigation owing to the limited number of genes that can be assayed in one experiment.
Resequencing is the most efficient approach for a large scale, genome-wide SNP discovery.
So why put your app in the store at all? Well first, unless you have your own advertising means, Palm's store will undoubtedly be a better place for discovery on a large scale.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com