Wolfram Library Archive

All Collections Articles Books Conference Proceedings
Courseware Demos MathSource Technical Notes

PathwayLab Research Edition

InNetics AB
URL: http://innetics.com/mathematica

PathwayLab Research Edition is a Mathematica application package designed to analyze, visualize, and document biochemical pathways. PathwayLab Research Edition permits in silico researchers to visualize and document pathways and associated data related to their disease focus. The ability to construct pathway models that can integrate kinetic, gene expression, and functional data makes PathwayLab Research Edition an efficient hypothesis test bench for prediction and analysis of disease pathways. This allows scientists to better understand, generate new insights on, and make better-informed decisions regarding the causes of disorders and potential drug targets.

*Mathematica Technology > Application Packages > Applications from Independent Developers > PathwayLab Research Edition

systems biology, in silico, biosimulation, in silico R&D, in silico biology, in silico technology, pathway, metabolic pathways, proteomics, genomics, phenomics, virtual cell, Disease simulation, PathwayLab, bioinformatics, drug discovery, biological modeling, computer modeling, computer simulation, virtual biology, proteome, genome, phenome, transcriptome, software platform, data integration, biological models, biological simulation, drug candidate screening, drug development, pathway editor, cell signaling, signal tranduction, signal transduction pathways, cell models, system models, SBML, obesity, diabetes, metabolism, cellML, pathway builder, digital cell, digital disease models, microarray analysis, microarray, dna, genetics, mrna, beyond genomics, genome, cell object language, software, gene, expression, high, throughput, screening, mining, data mining, knowledge management, analytics, MCA, genetic circuits, genetic circuits simulation, genetic circuits simulation system, flux balance analysis, systems biology, model development, simulation, data mining, bioinformatics, drug discovery, biological modeling, cyber cell, virtual biology, cyber biology, drug candidate screening, drug development, metabolomics, metabolic networks, computational biology, target prioritization