R is a very powerful software tool for analysis of biological data. It is an excellent choice for biologists reaching the limits of Excel, because learning R is very easy. The learning curve is minimal for Matlab or Mathematica users, and R comes with an added benefit of costing less than a cup of coffee. In fact, it costs less than the paper napkin to wipe coffee table - R is free. Primarily for this reason, many users have contributed powerful libraries to R. Those libraries can make statistical analysis of bioinformatic data straightforward. We are particularly attracted to Bioconductor suite of packages.
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