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Institute of Bio- and Geosciences – Biotechnology (IBG-1) (Forschungszentrum Jülich)
The dataverse of the Institute of Bio- and Geosciences – Biotechnology (IBG-1)
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11 to 20 of 139 Results
FBAB_rawdata_microscopy_images.zip.002
Unknown - 1.9 GB - SHA-256: 2122039188b4057a08ff79aa9976d4fdd2faa27b4c88b365952ab8cc13a2a407
FBAB_rawdata_microscopy_images.zip.003
Unknown - 1.9 GB - SHA-256: d9b18f7713cfce34c5db1ce7e50ae5204bad8a2a7829ec2f0b5693adfdb4f330
FBAB_rawdata_microscopy_images.zip.004
Unknown - 1.9 GB - SHA-256: 87cd80a76a53f91a8b8ab1b1f1e0cc167784d9d257d5a32f909c09b427f203b6
FBAB_rawdata_microscopy_images.zip.005
Unknown - 1.9 GB - SHA-256: 002f752daaf7dd87d6124418d39fbf827abe7dc80457102b67437ee4fd8812f9
FBAB_rawdata_microscopy_images.zip.006
Unknown - 205.4 MB - SHA-256: b20e28bbb6d51d216e4a6169c4e41de52f74517953272237a9d3a33b6478b16b
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Dec 18, 2020 - Metabolic Networks
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
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