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Comparison of the time cost of metabolic modeling between FastMM and other software using Gurobi solver
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Comparison of the time cost of metabolic modeling between FastMM and other software using Gurobi solver
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Comparison of the time cost of metabolic modeling between FastMM and other software using Gurobi solver

Journal: BMC Bioinformatics

Article Title: FastMM: an efficient toolbox for personalized constraint-based metabolic modeling

doi: 10.1186/s12859-020-3410-4

Figure Lengend Snippet: Comparison of the time cost of metabolic modeling between FastMM and other software using Gurobi solver

Article Snippet: Because the program “doubleGeneKO” contains both single and double gene knockout results, we can implement single and double gene knockout analysis by the following Matlab interface function using 8 threading: > > GeneKOout = FastMM_doubleGeneKO_multi(consmodel, rxnsmatrix, 8) The results suggested that PEPD, SLC15A1, and SLC5A3 were candidates for individual lethal genes specific to lung cancer, and pairs of CBS-SLC7A11, CBS-SLC3A2, CMPK1-PTDSS1, CMPK1-PLD2 were candidate synergistic lethal genes specific in the tumors.

Techniques: Comparison, Software, Combined Bisulfite Restriction Analysis Assay