Sentence examples for clusters that enable from inspiring English sources

Assistant professor of physics probes the formation of enzyme clusters that enable gene copying and protein production in living cells.

Inoue, 26, was the first student to join Cissé's lab at MIT in January 2014, and he built the lab's super-resolution microscopy setup to study enzyme clusters that enable gene copying and protein production within living cells.

They reiterated that their suggested avenues for creating shared value are mutually reinforcing as corporations, their marketplace stakeholders and the governments ought to work together to develop clusters that enable more local procurement and less dispersed supply chains.

For example, it has led to the isolation of specific gene clusters that enable different bacterial pathogens to infect humans [1] [4].

"It has been a remarkable 15-year journey that started with four PCs pretending to be a supercomputer, to 100- and 1000-node clusthat that enabled searching the Internet, to the million-node 'clouds' whose revolutionary impact is largely yet to come," said Brewer.

With the converged platform they were able to leverage file, database, and streaming analytics on the same cluster that enabled their customers to quickly compare comp plans to other similar businesses and ultimately save time, reduce risk, and motivate and align employee behaviors with corporate goals.

However, over time this could enable the approach to build better clusters of workload signatures that enable it to make more optimal allocations.

In summary, PathVar identifies statistically significant pathway deregulations, different from those detected by methods for comparing averaged expression levels, and provides pathway-based clustering and classification models that enable a new interpretation of microarray data.

Here, we integrate sequence data obtained by shotgun community genome sequencing approaches (metagenomics) [ 13, 14] with tools that enable sequence clustering based on a Markov clustering algorithm [ 15] with BLAST homology [ 15- 17] to categorize metagenomic reads based on evolutionary distance [ 18- 21].

The Genesis program uses a hierarchical clustering method that enables groups of variables with similar expression levels to be clustered together, as well as grouping together patient samples with similar expression patterns.

Finally, it is an iterative clustering algorithm that enables us to embed an incomplete data update phase in an elegant manner without breaking the original clustering procedure.