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To validate the model we have implemented it in the Squeak Smalltalk environment, and performed benchmarks.
We performed benchmarks of phylogenetic grammar-based ncRNA gene prediction, experimenting with eight different models of structural evolution and two different programs for genome alignment.
To assess the performance of the three protein geometric representation models Cα, Cβ, and Cm and to estimate the optimal distance cutoff for pairwise interactions in the potential function, we performed benchmarks based on a large set of 37384 MHC class I binding data restricted to 42 MHC class I alleles used in the original NetMHCpan publication [16].
SINA was able to achieve higher accuracy than PyNAST and mothur in all performed benchmarks.
We performed benchmarks for DNA as well as for protein alignment.
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Parameter optimization presents a challenge to independently performed benchmarking studies.
We performed benchmark studies on the molecular geometry, electron properties and vibrational analysis of imidazole using semi-empirical, density functional theory and post Hartree-Fock methods.
We performed benchmarking tests on a large set of nucleic acid and protein sequences For protein benchmarks we used the benchmark database BALIBASE 3 and an updated release of the database IRMBASE 2 for assessing the quality on globally and locally related sequences, respectively.
Industry experts are more cautious, awaiting the chance to perform benchmark tests.
We analyze the accuracy and the stability of the new scheme, and perform benchmark tests.
Finally, we perform benchmarking experiments with Mosco, the results of which indicate small overhead and high scalability.
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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