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All the above functionalities will speed up model generation, provide reproducibility and tests of robustness.
We choose Collada as the intermediate format, an XML-based common 3D scene exchange file, which can be compiled into a binary format to speed up model loading and editing.
For instance, improvements to internal interfaces now speed up model input/output operations.
We propose efficient data sampling algorithms and methods for early pruning of hypotheses to speed up model selection.
PyBioS integrates templates for model development and annotation, as a way to automatically take advantage of basic biological knowledge and publically available databases such as Ensembl (http://www.ensembl.org, [ 86]), Reactome (http://www.reactome.org) and KEGG [ 87], to automate and speed up model development.
While this problem is mostly avoided by a stringent requirement in MBA for model consistency (i.e., all reactions in the final tissue-specific model must be capable of carrying flux), a more deterministic and simulation-independent ranking of non-core reactions would serve to dramatically speed up model construction time.
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Further, we also eliminate redundancies in the original MDP in order to speed up the model reduction phase.
Although their algorithms using this probabilistic model take them in a different direction, I suggest that the methods described here could be used to significantly speed up the model building phase of BEAGLE.
To speed up metabolic model development for a large number of microorganisms, we need a user-friendly platform to construct metabolic networks and to perform constraint-based flux balance analysis based on genome databases and experimental results.
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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