"We can't allow published journal articles to be freely accessible on a large scale — especially not through other for-profit companies, who want to benefit from our and other publishers' efforts.
RNA sequencing represents a powerful and rapid method for obtaining functional information on a genome-wide scale, especially for the large genomes and non-model species.
However, the results of these studies are often not sufficient for long-term projections and extrapolations to large spatial scales especially for unprecedented environmental conditions, which require both the identification and understanding of key underlying processes.
However, the existing shuffling-based eVoting schemes still have two drawbacks: low efficiency in large-scale applications (especially for the talliers) and weak robustness.
However, for large scale data sets, especially those for GWAS, the detection of SNP-SNP interactions becomes a needles-in-a-haystack problem and exhaustive algorithms lose their ability [ 6, 7].
Dealing with such large scale executions is especially challenging for modellers who do not possess the theoretical and methodological skills required to take advantage of high performance computing environments.
For even larger scale RP production, especially for low-cost but high-volume RPs, it is desirable to develop new agroinfiltration technologies that allow gene delivery to whole plants without using a vacuum.
It is still financially prohibitive, however, to perform whole genome sequencing for a large number of subjects, especially for large scale genetic epidemiology association studies, at a sufficient depth for accurate genotype calls.
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