Scale up analysis of hits from the ACME screens.
The scaling up of the analysis to the universe of BLAST results between all genomes can give rise to two issues 1) multiple authorities, that can be dealt with as outlined previously and 2) overlapping hubs.
The simplest method of scaling up is to use familiar analysis methods on a larger scale and this is the most popular approach.
Separating start-up and implementation costs is essential if the analysis must tabulate the cost of scaling up an intervention.
In this paper we present a new distributed architecture and technology for scaling up text analysis running a complete chain of linguistic processors on several virtual machines.
Our objective was to correlate vegetation and soil features with VIs using low-level aerial photography, in preparation for scaling up to analysis of vegetation features using satellite imagery.
We are working on developing a parallel implementation of the code to assist in scaling up the analysis.
Prior to scaling up the analysis, we performed a pilot experiment to test the proposed workflow by analyzing 100 µL of parotid and the same amount of SMSL saliva from one donor (secretor, blood type O, Lea-, Ley−, Ley−, and MECA-79 low).
Next challenge: scaling up.
