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University of Wyoming

Resources

What follows is an assortment of things that I thought would be useful to other people. Most are things that I use, or have used, and that have been particularly helpful.

Graduate studies

  • Scott Keogh's page with Lots of Advice for Graduate Students. In particular, I found the comments by Stearns and Huey useful when I was a student.
  • Re-envisioning the Ph.D. -- A collection of materials and resources pertaining to graduate education. The name of the site refers to Ph.D. students, but there is material that applies to graduate education in general.

Computing

  • Computing resources at the University of Wyoming
  • Linux--an open-source operating system. Various vendors package the base system with powerful tools that give you full use and control of your computer. Linux is available for a large number of computer architectures (on CD from vendors, or for free online). These days I use it on Intel-compatible systems (e.g., Fedora, CentOS).
  • For additional UNIX tools on Mac OS X, I use the packages provided by the FINK project.
  • Perl (Practical Extraction and Report Language)--a programming language that is an invaluable tool for working with datasets, extracting data from text files, or writing interactive web pages. A set of perl tools specific to biology is available from BioPerl.
  • For choosing colors for on-screen presentations and manuscripts, ColorBrewer provides some valuable guidance. It's not just for maps. There is also an implementation of this for R (package RColorBrewer).
  • My PGP public key is available (CBE4A912).
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Perl logo

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Math and Statistics

  • R--A language and environment for statistical computing and excellent graphics. R provides a wide variety of statistical and graphical techniques (linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, etc.). R is available at no cost for Windows, Mac OS, linux and various forms of Unix.
  • GSL--The GNU Scientific Library A library of mathematical functions for C-programmers. Includes lots of essential things: good random number generators, memory allocation routines, statistics etc.
  • Links related to numerical analysis:
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