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If we generated as much as Holland, we would have two such wind farms.
The clone library that we generated, as well as the real time PCR data, showed that F. prausnitzii was the major constituent (approximately 65%) of this bacterial group.
We applied the approach to synthetic data we generated as well as to two pertinent specific examples from systems biology, namely PPI prediction and stem-cell regulatory network reconstruction.
We generated as many rows as the data allowed, say m rows.
We considered the locust protein coding genes we generated as a locust core gene set for the following reasons.
We next applied the seriation algorithm to the analysis of SAGE libraries we generated as part of the Mouse Atlas Project (www.mouseatlas.org).org
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In the initialization step, we arbitrarily chose a subset Γ ' ⊆ Γ of m ≤ n leaves, and we generate as initial m-leaf partial tree, i.e., an optimal solution of the problem (1) when only m leaves are considered.
Transgenic flies were generated as above.
With the use of the four factors OCT4, SOX2, KLF4 and BCL-XL, we can generate as many as 20 30 integration-free iPSCs from 1 ml PB [43].
Using the recently described "soft" purification protocol, we were unable to generate aS samples of sufficient purity for detailed biophysical studies.
After those hardware-friendly approximation, the disparity maps we generated were not as good as those reported in the original article [1].
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