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Center for Computational and Integrative Biomedical Research

Houston, Texas

Computational and Integrative Biomedical Research Center
CIBR Center for Computational and Integrative Biomedical Research
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Wolfram Mathematica Site License for BCM

The CIBR Center has obtained a BCM site license for Mathematica for all BCM faculty, students, academic staff, postdocs, and graduate students.

Mathematica is a computational software program used in scientific, engineering, and mathematical fields as well as other areas of computing. The Mathematica software is available for Linux, Macintosh, and Windows on both 32-bit and 64-bit platforms.

To install Mathematica utlizing the BCM Site license, you must use your BCM email address to receive an activation key.

Mathematica can be installed on:

  • Faculty/staff/postdocs/students BCM-owned machines
  • Faculty/staff/postdoc personally owned machines
  • Students' personally owned machines

Mathematica 8 at Baylor College of Medicine - Installation instructions and helpful links PDF - Review the preceding PDF for the procedures on how to download the software and receive an activation key

Contact Wolfram Support at 1-800-WOLFRAM, Monday-Friday, 8 a.m. to 5 p.m., Central Time, or email for any product related questions or problems.

First Steps for New Mathematica Users

First Ten Minutes with Mathematica 8: This screencast provides an overview of the important features that you'll want to explore during your first ten minutes with Mathematica.

Hands-on Start to Mathematica: Follow along in Mathematica as you watch this multi-part screencast that teaches you the basics—how to create your first notebook, calculations, visualizations, interactive examples, and more.

Learning Center: Browse through this extensive collection of Mathematica tutorials, examples, and other resources to learn more about using Mathematica.

Resources for Researchers

• Sign up for free online seminars, such as "S01: An Overview of Mathematica for Education".

• Download pre-built examples and courseware from the Wolfram Demonstrations Project, MathWorld, and the Library Archive.

• Get support and expand your knowledge among the wide range of self-help options in the Wolfram support center.

• Need to compute something on the fly from your mobile device, or while away from campus? Check out Wolfram|Alpha, which lets you explore a wide variety of topics.

Full Collection of How To Tutorials - Ranging from how to create animations to basic syntax information.

Research with Mathematica

High Performance Computing – A nice collection of videos and screencasts relating to Mathematica and High Performance Computing

BigData: Demystifying Large Datasets in Mathematica - See a number of data import topics and how Mathematica handles large datasets in real-world applications in this talk from the Wolfram Technology Conference 2011

Developing Solutions for Real-World Image Processing - This Wolfram Mathematica Virtual Conference 2011 course explores the depth of Mathematica's image processing capabilities, how they integrate with other features, and how they can be combined to create powerful interactive tools

Eye on Cancer Prevention: Precision Diagnosis with Mathematica – This video, featuring Richard Scott of CDx Laboratories, gives an example of how Mathematica is used to prevent cancer with precision diagnosis.

Applications of GPU Computation in Mathematica – In this video presentation from the Wolfram Technology Conference 2011, Ulises Cervantes-Pimentel, a senior kernel developer at Wolfram, describes how to compute and program using the new GPU capabilities in Mathematica 8.

Wolfram SystemModeler: Developing Systems Biology Models - This course from the Wolfram SystemModeler Virtual Conference 2012 provides an introduction to the BioChem library and the Systems Biology Add-On and teaches you how you can build, simulate, and analyze biochemical models using SystemModeler and Mathematica.

Introduction to Functional Programming - In this course from the Wolfram Mathematica Virtual Conference 2011, you'll learn the core constructs, functions, and evaluation rules of a dynamic, functional language. See how to transition your thinking from procedural to functional programming.

How To Access Mathematica’s High Performance Computing Capabilities - Learn how to create programs and take advantage of multi-core machines or a dedicated cluster

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