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English words and Examples of Usage

Example Sentences for "computationally "


We carried out computer selection experiments not only comparing the autonomous agent to a nude exergonic DNA trimer-hexamer system, but also computationally mutating the kinetic constants by small amounts and computationally evolving autonomous agents to reproduce with higher thermodynamic eYciency.

coli in silico to computationally examine the condition dependent optimal metabolic pathway utilization, and we will show that the FBA can be used to analyze and interpret the metabolic behavior of wildtype and mutant E.

The condition dependent metabolic phenotypes were computationally analyzed, and the results are organized by the overall metabolic phenotype, essential, conditionally essential, or non-essential genes.

Instead, QRNA is best used as a computational screen for candidate ncRNA genes, after which candidate loci are further characterized both computationally and experimentally before considering them to be "genes".

Increasingly powerful workstations to act as servers will allow the much more computationally intensive comparisons of megabase-sized genomes.

This is the most computationally intensive part of the calculation and the code is implemented in C.

We propose a variation on their approach that retains the distance property, eliminates the over-estimation, and uses more computationally efficient operations.

Ultimately, this achievement can be described as one that replaces the determination of logarithmic, numerical distance, with computationally more efficient logic operations.

The chemistry involved in a hybridization experiment is often too complicated to be predicted computationally at the current stage, therefore in reality probe intensity distribution for a set is usually fairly wide and has a long tail, which causes all kinds of difficulty for data analysis.

One of the main features of At cis DB is mapping of experimentally known and computationally predicted (see Methods for details) TF binding sites to their respective gene promoters, and display in graphical form.

Bootstrap analysis of the data using ML criteria was not computationally feasible given the size of the data set.

Because bootstrap analysis using ML is not computationally feasible for large data sets [ 85 ] , we conducted a Bayesian analysis as an alternative employing optimization parameters similar to the nucleotide substitution model that we used for ML [ 86 87 ] .

The usage of restriction fingerprints computationally derived from sequence database entries is hampered by the lack of predictability of gel positions from sequences and the integer versus non-integer issue.

(2003) [ 1 ] , several genes responsible for grain filling in rice were computationally identified.

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