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Data was generated from the overview pages of the apps provided by the developer.
The next-generation sequencing data was generated from samples of four patients at three timepoints during treatment with the co-receptor antagonist Vicriviroc.
Until recently much of the sequence data was generated from isolated organisms, but with the advent of metagenomics and next-generation sequencing technologies, the sequence space that can be surveyed has increased dramatically, thereby providing new opportunities for the discovery and characterization of novel biological functions including biocatalysts.
Present climate data was generated from 50 climate stations within the watershed using co-kriging.
Quantitative analysis of performance took place and qualitative data was generated from a questionnaire assessing the learning experience.
The first is that the ChIP-seq data was generated from pooled cells, and the marks could separately label different cells.
RNA sequencing (RNA-seq) data was generated from 524 tissue samples collected from 42 post-mortem brains collected from neurologically unremarkable individuals spanning early pre-natal development (8 post-conception weeks, PCW) to late adulthood (40 years of age).
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Data sources and characteristics: Data is generated from many different sources in many different formats.
F2 generations were used and all data were generated from littermates.
Data were generated from n = 2 independent experiments.
Data were generated from one experiment with three replicate wells.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com