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After pre-processing, the input and time series data of the microarray experiments were passed to NetGenerator for automatic network inference.
Some of the genetic rearrangements documented in the experiments were passed on to subsequent generations of plants, which suggests that these genomic changes can be stable enough to be inherited.
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For experiments, the cells were passed in a medium lacking selection antibiotics 2 4 days.
In Experiment 1, messages were passed down chains of participants using five different modes of communication.
In these experiments, various combinations of mRNA were passed through a filter that contained ribosomes, the components of cells that translate RNA into protein.
In the first test, independent of the trapping experiments in microfluidic wedges, malaria parasites were passed through a series of microfluidic flow channels with varying constrictions to identify the largest constriction that obstructed cell flow.
During each experiment, 400 to 600 × 106 cells were passed through the high-speed sorter, and about 70 to 150 × 106 G1 phase, 12-35 × 106 S phase and 10 to 30 × 106 G2/M phase cells were sorted out.
Resultant chimaeric rIBVs were passed three times in CK cells before being used in subsequent experiments.
Cells were passed regularly and subcultured to ∼80/90% of confluence before all the experiments.
Cells were passed weekly.
A list of metabolites, e.g. biomarkers arising from a metabonomic experiment, can be passed to MetaboNetworks and it searches for the shortest path between each of these metabolites using the breadth-first search algorithm.
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