Data collections tagging

Here are the data collections associated to the following tag:

NameDefinition
BiGG Compartment BiGG is a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. It more published genome-scale metabolic networks into a single database with a set of stardized identifiers called BiGG IDs. Genes in the BiGG models are mapped to NCBI genome annotations, and metabolites are linked to many external databases (KEGG, PubChem, and many more). This collection references model compartments.
BiGG Metabolite BiGG is a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. It more published genome-scale metabolic networks into a single database with a set of stardized identifiers called BiGG IDs. Genes in the BiGG models are mapped to NCBI genome annotations, and metabolites are linked to many external databases (KEGG, PubChem, and many more). This collection references individual metabolotes.
BiGG Model BiGG is a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. It more published genome-scale metabolic networks into a single database with a set of stardized identifiers called BiGG IDs. Genes in the BiGG models are mapped to NCBI genome annotations, and metabolites are linked to many external databases (KEGG, PubChem, and many more). This collection references individual models.
BiGG Reaction BiGG is a knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. It more published genome-scale metabolic networks into a single database with a set of stardized identifiers called BiGG IDs. Genes in the BiGG models are mapped to NCBI genome annotations, and metabolites are linked to many external databases (KEGG, PubChem, and many more). This collection references reactions.
BioModels Database BioModels Database is a data resource that allows biologists to store, search and retrieve published mathematical models of biological interests.
Database of Quantitative Cellular Signaling: Model The Database of Quantitative Cellular Signaling is a repository of models of signaling pathways. It includes reaction schemes, concentrations, rate constants, as well as annotations on the models. The database provides a range of search, navigation, and comparison functions. This datatype provides access to specific models.
E-cyanobacterium entity E-cyanobacterium.org is a web-based platform for public sharing, annotation, analysis, and visualisation of dynamical models and wet-lab experiments related to cyanobacteria. It allows models to be represented at different levels of abstraction — as biochemical reaction networks or ordinary differential equations.It provides concise mappings of mathematical models to a formalised consortium-agreed biochemical description, with the aim of connecting the world of biological knowledge with benefits of mathematical description of dynamic processes. This collection references entities.
E-cyanobacterium model E-cyanobacterium.org is a web-based platform for public sharing, annotation, analysis, and visualisation of dynamical models and wet-lab experiments related to cyanobacteria. It allows models to be represented at different levels of abstraction — as biochemical reaction networks or ordinary differential equations.It provides concise mappings of mathematical models to a formalised consortium-agreed biochemical description, with the aim of connecting the world of biological knowledge with benefits of mathematical description of dynamic processes. This collection references models.
E-cyanobacterium rule E-cyanobacterium.org is a web-based platform for public sharing, annotation, analysis, and visualisation of dynamical models and wet-lab experiments related to cyanobacteria. It allows models to be represented at different levels of abstraction — as biochemical reaction networks or ordinary differential equations.It provides concise mappings of mathematical models to a formalised consortium-agreed biochemical description, with the aim of connecting the world of biological knowledge with benefits of mathematical description of dynamic processes. This collection references rules.
JWS Online JWS Online is a repository of curated biochemical pathway models, and additionally provides the ability to run simulations of these models in a web browser.
MetaNetX chemical MetaNetX/MNXref integrates various information from genome-scale metabolic network reconstructions such as information on reactions, metabolites and compartments. This information undergoes a reconciliation process to minimise for discrepancies between different data sources, and makes the data accessible under a common namespace. This collection references chemical or metabolic components.
MetaNetX compartment MetaNetX/MNXref integrates various information from genome-scale metabolic network reconstructions such as information on reactions, metabolites and compartments. This information undergoes a reconciliation process to minimise for discrepancies between different data sources, and makes the data accessible under a common namespace. This collection references cellular compartments.
MetaNetX reaction MetaNetX/MNXref integrates various information from genome-scale metabolic network reconstructions such as information on reactions, metabolites and compartments. This information undergoes a reconciliation process to minimise for discrepancies between different data sources, and makes the data accessible under a common namespace. This collection references reactions.
ModelDB ModelDB is a curated, searchable database of published models in the computational neuroscience domain. It accommodates models expressed in textual form, including procedural or declarative languages (e.g. C++, XML dialects) and source code written for any simulation environment.
MultiCellDS collection MultiCellDS is data standard for multicellular simulation, experimental, and clinical data. A collection groups one or more individual uniquely identified cell lines, snapshots, or collections. Primary uses are times series (collections of snapshots), patient cohorts (collections of cell lines), and studies (collections of time series collections).
MultiCellDS Digital Cell Line MultiCellDS is data standard for multicellular simulation, experimental, and clinical data. A digital cell line is a hierarchical organization of quantitative phenotype data for a single biological cell line, including the microenvironmental context of the measurements and essential metadata.
MultiCellDS Digital snapshot MultiCellDS is data standard for multicellular simulation, experimental, and clinical data. A digital snapshot is a single-time output of the microenvironment (including basement membranes and the vascular network), any cells contained within, and essential metadata. Cells may include phenotypic data.

17 items returned.