Sentence examples for generated made it from inspiring English sources

The similarity to VMware in its early days and the excitement that Docker has generated made it an attractive investment, said Jerry Chen, a general partner at Greylock who joined the venture capital firm in August.

Its contents and the reaction it generated made it all the way to the pages of the New York Times.

The poll's methodology left something to be desired, but the headlines it generated made it harder for Mr Letwin to persuade people that he had a serious and coherent plan for governing the country.Another reason the Tories are struggling to make themselves heard is that they have little distinctive to say.

The team says if CRISPR is used in a gene therapy to edit billions of cells, bad results are "likely". "The multitude of different mutations generated makes it likely that one or more edited cells in each protocol would be endowed with an important pathogenic lesion," according to geneticist Allan Bradley, who headed the study, published in the journal Nature Biotechnology.

For it is that which is yet to be-health, let us say, or a man-that, owing to its being of such and such characters, necessitates the pre-existence or previous production of this and that antecedent; and not this or that antecedent which, because it exists or has been generated, makes it necessary that health or a man is in, or shall come into, existence.

The sheer amount of user data generated makes it easy to get bogged down; use autonomous processes to handle necessary infrastructure maintenance and make use of granular metrics to reduce IT costs, improve service delivery and identify new business opportunities.

The reason why AI is being prevalently used now than before is twofold: 1) the science and the advancement behind algorithm development; 2) with the abundance of data generated makes it a perfect time to use this model.

The large quantity of DNA generated makes it possible to detect amplification and interpret the assay result by visual inspection for fluorescence or turbidity (Boehme 2007).

A consequence of the network's ecological design is that no subject identifiable results are generated, making it difficult to study pathogen-disease interactions at the individual level.

The reliance of NGS on software for data analyses to interpret the large amount of information generated makes it critically important to validate detected mutations (Ross and Cronin, 2011).

These subtle movements precisely control the lift its wings generate, making it an excellent hoverer.