Sentence examples for generation of pathways from inspiring English sources

Exact(4)

Such approaches have been in use for nearly 20 years in biomolecular systems and enabled the generation of pathways and calculation of rate constants for ms processes, including large protein conformational changes, protein folding, and protein (un binding.

Automated development of models on the large scale will become crucial as automatic generation of pathways from genomics and metagenomics becomes common practise.

The integration of sequencing and gene interaction data and subsequent generation of pathways and networks contained in databases such as KEGG Pathway is essential for the comprehension of complex biological processes.

The build function of IPA allows the generation of pathways that can complete the data analysis by showing interactions of identified proteins with a specific group of molecules [ 28, 29].

Similar(56)

Pathway complexity brings forth two distinct challenges, one in the systematic generation of pathway-level datasets under multiple conditions and one in the interpretation of such complex data.

The generation of pathway models from KEGG information was performed with KEGGtranslator [ 49, 67].

GSEA [ 146] is a popular tool that belongs to the second generation of pathway analysis.

The new landscape we face requires a profound rethinking of our definition of pathway, as well as the development of a next generation of pathway data models for the metagenomics field.

For example, it has been reported that 126 pathways were deleted and 17 pathways were manually reconstructed after the initial automated generation of metabolic pathways of Medicago truncatula [ 15].

These targeted MINEs will integrate the generation of plausible pathways by BNICE with the tools to detect the presence of predicted pathway intermediates with accurate mass spectrometry thereby accelerating the process of proposing and evaluating hypothetical enzymatic synthesis routes for a number of compounds of interest.

Generation of regulatory pathways through text-mining tools allows integration of data generated by previous studies for a more complete view of a biological process.

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