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The identification of cycles and subsidence patterns in the Amundsen Basin prior to Rodinia break-up has implications for understanding the stratigraphic architecture of other intracontinental sag basins.
The explanation proposed by the author is based on the strong contractions or expansions of the Peruvian economy, which makes the correct identification of cycles more difficult.
Since the sub-network supplied to the SLP algorithm is potentially smaller than the original network, the identification of cycles in larger networks may become possible.
Both the WW and MS algorithms use a preprocessing procedure to reduce the size of the network before identification of cycles is attempted.
We describe a new algorithm for the identification of cycles in stoichiometric networks, and we compare its performance to two others by exhaustively identifying the cycles contained in the genome-scale metabolic networks of H. pylori, M. barkeri, E. coli, and S. cerevisiae.
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Because of the greater diversity of cycle patterns, we used an autocorrelation approach for the identification of diurnal cycles.
Finally, we expect that this methodology will allow a better identification of recessive cycles, especially in periods after 1990, which is why the obtained cycles will be compared with those produced by other methods and with the timeline of recessions that is usually employed.
An algorithm was also developed for the identification of tight cycles and their member atoms.
In this regard, the partition metric clearly impacts the identification of substrate cycles in modules.
In addition, branch point analysis allows the graphical identification of metabolic cycles, which can subsequently be analysed for their biological significance.
Lastly, we have not investigated the effects of population sizes in earlier years, i.e., N t -1, N t -2, but these would allow the identification of population cycles found in, e.g., some vole species [ 37, 38].
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