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Metabolic Networks
This dataverse contains models and data related to metabolic networks and fluxomics.
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1 to 10 of 127 Results
Supplement to Trans-dimensional Diffusive Nested Sampling for Metabolic Network Inference
Jul 16, 2024
Jadebeck, Johann Fredrik; Wiechert, Wolfgang; Nöh, Katharina, 2024, "Supplement to Trans-dimensional Diffusive Nested Sampling for Metabolic Network Inference", https://doi.org/10.26165/JUELICH-DATA/CXQROH, Jülich DATA, V1
Link to models, code and samples from diffusive nested sampling for the conference proceedings for the MaxEnt2024 conference.
Readme.md
Markdown Text - 550 B - SHA-256: 7888a67f5981e4a01fb98a8a8328c482ddf9783fc84687830cca6fab45eb3282
brief description and link to github repo
Simulation Data for: Theorell-et-al.-Metabolic_Engineering-2024
Mar 22, 2024
Theorell, Axel; Jadebeck, Johann F.; Wiechert, Wolfgang; McFadden, Johnjoe; Nöh, Katharina, 2024, "Simulation Data for: Theorell-et-al.-Metabolic_Engineering-2024", https://doi.org/10.26165/JUELICH-DATA/BJK8GJ, Jülich DATA, V1
MCMC samples generated and analyzed in Theorell-et-al.-Metabolic_Engineering-2024
flux_data.mat
MATLAB Data - 299.4 MB - SHA-256: baa73456bf286b167c67017f1d6176f229586be218fa4c0dbbb349fdcb4a99ff
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Dec 18, 2020
Johann F. Jadebeck; Axel Theorell; Samuel Leweke; Katharina Nöh, 2020, "Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models", https://doi.org/10.26165/JUELICH-DATA/YXLFKJ, Jülich DATA, V1
This collection contains showcased models and pre-processing results (determining an independent flux space and rounding) that are used as basis for benchmarking the uniform sampling performance of the CHHR implementations of the HOPS library [10.1093/bioinformatics/btaa872] (htt...
A_e_coli_core_rounded.csv
Comma Separated Values - 57.6 KB - SHA-256: 72fe0fa967668486bbbfd09d79b058355597d83fddfc36ec5e8737ff4c2639a8
A_e_coli_core_unrounded.csv
Comma Separated Values - 18.8 KB - SHA-256: a624399deea3876f61fbb4883925f9011fc5d3d76fd6aaf5f00b9cf59505603b
A_iAT_PLT_636_rounded.csv
Comma Separated Values - 7.9 MB - SHA-256: 99060ccea86dad2520d8ceae6e27e9731cfa55a443c43a9cb1c7e4b5a343bc87
A_iAT_PLT_636_unrounded.csv
Comma Separated Values - 1.3 MB - SHA-256: 10f1083101c3e1635cc665cc5a6857498ce0ce5e08e1f0d5c4b931b4e0559cf3
A_iJO1366_rounded.csv
Comma Separated Values - 23.2 MB - SHA-256: ac96da0b345ea1c4d00547f7a1201b31decfcebc670dfbbf37db875b21e93489
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