The Mathematica biological sciences solution offers a complete workflow—from data import to high powered analysis through automatic report generation and interactive deployment—all in one system, with no need for programming.
Curated genome and protein data are built into Mathematica alongside highly automated computation for ease and accuracy of calculations.
Bringing models to life using a single command
A 3D model of an insulin molecule with an interactive interface built using the Manipulate function
Simulating the behavior of organisms and instantly visualizing the results
A simulation of the expansions and contractions along the length of a pulsing polyp in an aquatic hydractiniid hydroid colony
Investigating epidemic dynamics using built-in differential equation, statistical and graphing tools
An SIR model of disease spread through a population investigated for different values of disease characteristics, such as contact number and disease duration
Computing and visualizing built-in genome and protein data instantly
A protein ribbon plot and wireframe visualization using protein structure data
Importing and analyzing data, then presenting results, all in a single document
A slideshow with interactive content that can be modified during a presentation
Built-in image processing capabilities are an integrated part of the Mathematica workflow Competitor note: Excel, Stata and other statistics software do not have image processing capabilities
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Ways to Use
Key Capabilities
Why Choose Mathematica
Ways to Use
Determining the dynamic properties of cells and enzymes and other applications in cellular and molecular biology
Bacterial colony counting, computer-aided cell analysis, estimation of infected leaf area and chlorophyll, and other applications using built-in image processing techniques
Real-time agent-based simulation and modeling of ecosystems
Design and analysis of clinical trials
Genomics, population genetics, and statistical genetics in populations to link variation in genotype with variation in phenotype
"As more data about this outbreak becomes available, we can instantly import it, redo our calculations, and get better results. Then, we can improve predictions and design better control policies."
"[Mathematica] was helpful.... It was easy to set up, and came up with a lot of interesting rules which did things... I didn't know that these kinds of distance transforms could do."
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