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As noted above, LCA provides a useful framework for benchmarking ortholog assignment methods, but such application is not trivial and we have encountered several challenges.
To benchmark the optimal assignment methods, we compared the results with FieldScreen, the 166 bit MACCS keys and DOCK.
While the scaffold is in place for this at the present time (i.e. BOLD [44]), further benchmarking of statistical assignment programs is necessary (e.g. [50]), as is the continued construction and maintenance of reference barcode libraries.
We also describe how we quantify the performance of our method with the relative mutual information of module and submodule assignments between the benchmark networks and the hierarchical clustering generated by the algorithm.
Our study provides a benchmark to estimate the confidence in assignment of functions purely based on sequence similarity.
In this paper we provide formal assignment results for software benchmarks partitioned using the WOA and previous execution paradigms for distributed heterogeneous architectures along with bounds and complexity information to demonstrate the robust performance improvements possible with the WOA.
The benchmark process includes geometric model processing, material assignment, model normalizing, converting to SN code input file, calculating and analysis with SN code system VisualBUS.
Proteins annotated in C. jejuni NCTC 11168 as GTs based on indirect evidence (e.g. through homology assignment) were omitted from the benchmark dataset.
Our analysis of industries with the most potential for innovation offers benchmarks for effective resource allocation or incentive assignment in fecund industries.
We validate performance of our method by considering both the dynamic generalized assignment problem and the moving peaks benchmark.
The random benchmark is based on 1,000 permutations randomizing role assignment.
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