The Wolfram Solution for

Bioinformatics

Pull in your data or ours, apply sophisticated symbolic and numeric analysis, visualize, generate interactive reports or instant applications—all in one system, with one integrated workflow.

The Wolfram bioinformatics solution seamlessly integrates specialized capabilities—like built-in computable genome and protein data and sequence alignment—while providing the most automated and reliable computation, development, and deployment environment available.

Using built-in curated human genome and protein data suitable for computation
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Mathematica and SystemModeler include thousands of built-in functions that let you:

  • Model biological systems with Wolfram SystemModeler
  • Rapidly search the human genome
  • Generate sequence alignments in a computable form
  • Quickly visualize large-scale sequence alignments
  • Rapidly compare gene structures
  • Visualize biological reaction networks with Wolfram SystemModeler
  • Generate accurate protein renderings using integrated protein structure, element, and color data
  • Instantly visualize protein sequence alignments
  • Use built-in protein structure data to generate Ramachandran plots, visualize protein folds, and more
  • Visualize gene interaction networks
  • Rapidly develop and test algorithms
  • Easily integrate legacy data with ready-to-use curated genomic and protein data in a powerful computational environment
  • Construct interactive applications and deploy them immediately with the Wolfram CDF Player

Analyzing processes in the glucose-insulin system with Wolfram SystemModeler

Visualizing protein folds using built-in protein structure data

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Free-form linguistic input produces immediate results without the need for syntax
    Unique to Mathematica
  • Built-in curated genomic and proteomic data, ready for use without preprocessing
    Unique to Mathematica
  • High-level language with automated interface construction for quick prototyping of applications
    BioPerl, BioJava, and BioPython require extensive programming to prototype interactive applications
  • Powerful integrated statistical and graphical tools for analyzing genomic, proteomic, and other data
    R projects like Bioconductor focus on genomic data only
  • Built-in high-level computation and automatic report generation
    BioPerl, BioJava, and BioPython do not include automatic report generation
  • Easy-to-use parallel computing capabilities for solving computation- or data-intensive problems on multicore computers
    Extensive programming is required to parallelize processes in all other systems
  • Complete high-level workflow enabled by symbolic function architecture
    R does not have symbolic functionality built in

Studying glycolytic oscillations in yeast cells with Wolfram SystemModeler

Showing the global alignment of two protein sequences on an alignment wheel

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Wolfram SystemModeler is the most complete physical modeling and simulation tool for high-fidelity modeling. Capabilities include:


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