Metabolic Networks

This dataverse contains models and data related to metabolic networks and fluxomics.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

91 to 100 of 124 Results

start_e_coli_core_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 492 B - SHA-256: 9c8ab3ee389302a8fea224a84d66a6697832906613181072e157df224c4988ee
start_e_coli_core_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 422 B - SHA-256: e549f3824aff0d0afce66a240f6cecfbfba3543c8c5bc305db2f20deefcb2698
start_iAT_PLT_636_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 6.0 KB - SHA-256: b415217c12e4408675c9b162d54a168de11515ef9f76780268756aca290d404e
start_iAT_PLT_636_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 4.8 KB - SHA-256: 89f0375ddc465d42c075d2f0667804c86c34e2446b89617927d49806aa94693d
start_iJO1366_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 11.7 KB - SHA-256: b6295e04da7bf97ce64ef8a2bad460f8b378fd1781a0b29de7dcbfcf826c1e3b
start_iJO1366_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 11.1 KB - SHA-256: 02139e42c29a247e1264d7b6513c91433f793c0dff05201816b2e602fb73958b
start_RECON1_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 19.5 KB - SHA-256: 5aca9743012372a8aaed58b891084b72dd320f54421afba414f92d9fe4994fb9
start_RECON1_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 15.6 KB - SHA-256: fa907cfe6006e2d2057625349a2502fe81da88d5263a261443a81613ce95ffa1
start_Recon2_rounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 45.9 KB - SHA-256: e546e4cc22dac875c08275b0c1b7fd4f7ddbd361e7e3ee3014decc419c9f0471
start_Recon2_unrounded.csv Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models Comma Separated Values - 44.7 KB - SHA-256: f99f3e77dd32d6a2e1fc8d746a6d7a342b05b1621dc48deaa5641b40192e9a8d

start_e_coli_core_rounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 492 B - SHA-256: 9c8ab3ee389302a8fea224a84d66a6697832906613181072e157df224c4988ee

start_e_coli_core_unrounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 422 B - SHA-256: e549f3824aff0d0afce66a240f6cecfbfba3543c8c5bc305db2f20deefcb2698

start_iAT_PLT_636_rounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 6.0 KB - SHA-256: b415217c12e4408675c9b162d54a168de11515ef9f76780268756aca290d404e

start_iAT_PLT_636_unrounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 4.8 KB - SHA-256: 89f0375ddc465d42c075d2f0667804c86c34e2446b89617927d49806aa94693d

start_iJO1366_rounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 11.7 KB - SHA-256: b6295e04da7bf97ce64ef8a2bad460f8b378fd1781a0b29de7dcbfcf826c1e3b

start_iJO1366_unrounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 11.1 KB - SHA-256: 02139e42c29a247e1264d7b6513c91433f793c0dff05201816b2e602fb73958b

start_RECON1_rounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 19.5 KB - SHA-256: 5aca9743012372a8aaed58b891084b72dd320f54421afba414f92d9fe4994fb9

start_RECON1_unrounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 15.6 KB - SHA-256: fa907cfe6006e2d2057625349a2502fe81da88d5263a261443a81613ce95ffa1

start_Recon2_rounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 45.9 KB - SHA-256: e546e4cc22dac875c08275b0c1b7fd4f7ddbd361e7e3ee3014decc419c9f0471

start_Recon2_unrounded.csv

Dec 18, 2020 - Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Comma Separated Values - 44.7 KB - SHA-256: f99f3e77dd32d6a2e1fc8d746a6d7a342b05b1621dc48deaa5641b40192e9a8d

Add Data

Share Dataverse

Link Dataverse

Reset Modifications