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As already mentioned in the introduction, the 3C methodology generates four different ligation products for interacting DNA segments (see Figure 1a).
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Finally, this methodology generates two products: a learning community and a space where the generated resources are organized.
Rather than discussing the pluses and minuses of this methodology, let's look at the results that it generates, two of which stand out.
Fusion energy generates zero greenhouse gases.
This real-time detection methodology generates quantitative data during the exponential phase of PCR, has a linear dynamic range of at least five orders of magnitude and enables 96 reactions to be performed in less than 3 h.
In contrast, the PUFF methodology generates forces directly without the need of harmonic springs.
The Ion-Torrent PGM represents a low-cost and rapid sequencing methodology generating around 80 million sequence reads in a single run of approximately 90 min.
This Figure shows the overall methodology of mining ChEMBL, generating ten separate cross-validated models, applying these to the phospholipidosis dataset, and obtaining the PS α scores.
The search methodology generated 497 possible references.
The Panthers generated two goals.
Title TK generated three singles.
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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