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A total of five generations of phenotypic data (generation 101 - 105) were created and used in breeding value estimation (10,000 animals in total).
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New and improved catalyst compositions were discovered by using a total of seven generations each consisting of 92 potential catalysts.
On the following day (after 24 h and two changes of water), a new generation of two naive ducks was introduced and so forth, resulting in a total of seven generations of birds, each staying 5 days in the experiment, across 23 days.
After a total of four generations (20 days), at least ten colonies were randomly isolated by plating for single clones on the defined agar medium and tested again for growth in flasks with the defined medium supplemented with the inhibitor at appropriate concentrations.
It has 30 buses and a total of six generation plants.
For combined analyses, model selection as well as the settings is similar with that of the single-marker analysis, however there were a total of three million running generations.
We repeated this process for a total of ten social generations.
A total of 100 million generations (2 runs of 50 million generations each) are necessary to reach sufficient ESS.
Both estimates were each given two different seed values and chain lengths of 10 million for a total of 20 million generations each.
The BI dendrogram of the 324 NarJ subfamily sequence dataset required a total of 10 million generations using 8 chains at standard burn-in rate where 25%% of the samples were discarded and the tree space was sampled every 1000 generations.
A total of 10 million generations were run, with a sample frequency of 1000, and 5 million of them were burned out to produce a consensus tree.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com