https://youtu.be/OJmqtJey4zg ObjTables is a community initiative to make supplementary spreadsheets to journal articles - one of the most common methods for sharing scientific data - more reusable. The long-term goal is to create an ecosystem of reusable data for comparative and integrative research. ObjTables combines the ease of use of spreadsheets (XLSX file [...]
Danator is an integrated database of molecular data designed to facilitate integrative analysis of multiple cellular subsystems. To help investigators overcome the lack of complete data about every molecule and reaction in every organism, Datanator includes tools for building "clouds" of data that include data about chemically similar molecules and reactions in phylogenetically similar [...]
Kinetic Datanator is a tool for discovering the data needed to build, calibrate, and validate whole-cell models. Kinetic Datanator is composed of an integrated database of experimental data for whole-cell modeling and tools for identifying relevant data for modeling a specific organism and environmental condition. Kinetic Datanator has a web-based graphical interface, a REST [...]
The Random Whole-cell model generator is a tool for generating WC models that represent user-specified numbers of genes, RNA, proteins, and reactions of an archetypal bacterium. The models generated by the model generator represent the metabolism, replication, transcription, translation, RNA and protein degradation, and cell division of a typical bacterium. The archetypal bacterium model [...]
Whole-cell KB (WC-KB) is a data model for describing the experimental data needed to build, calibrate, and validate a whole-cell model. WC-KB includes a command line program and a Python API. Whole-cell KB
WC-KB-Gen is a Python framework for programmatically constructing knowledge bases for whole-cell models. WC-KB-Gen helps modelers retrieve data from external sources, organize this data, and record the provenance of this data. In turn, WC-KB-Gen helps modelers scalably, reproducibly, and comprehensibly discover and aggregate data for whole-cell models. Learn more
WC-Lang is a data model and a file format for describing composite, multi-algorithmic whole-cell models. WC-Lang includes a command line interface and a Python API. WC-Lang
WC-Model-Gen is a Python framework for programmatically constructing whole-cell models from large datasets described with WC-KB. WC-Model-Gen helps modelers retrieve data from a WC-KB and use the data to scalably design species and reactions. In turn, WC-Model-Gen helps modelers build models scalably, reproducibly, and comprehensibly. WC-Model-Gen on GitHub
WC-Rules is a formalism for describing composite, mixed-grained, multi-algorithmic WC models. WC-Rules provides modelers a high-level, biologically-intuitive language for describing models in terms of patterns of metabolite, DNA, RNA, and protein species, and rules for their interactions. Together, these species patterns and interaction rules enable modelers to describe the molecular complexity of any biochemical [...]
