Capturing Full Cellular Regulation In silico using "Big" Data: A Frontier for Systems Biology Perspectives

Copyright: © 2013 Sowa S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This perspective article offers our view on the current and future directions of the integration of “big” data and genome-wide engineering. In our perhaps not-so-distant view of the future, a desired phenotype can be simply envisioned and inputted into a computational algorithm to obtain a detailed experimental strategy that would make it happen. It is foreseeable that a detailed map of a fully integrated regulatory and metabolic network can be generated using already built-in capabilities, resulting from large-scale genomics, proteomics, transcriptomics and modomics data.

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