Notes on “A Field Guide to Computational Biology”

September 22, 2008

A Field Guide to Computational Biology: Kiryn Haslinger

The gist: Computational Biology is the use of computers to answer biological problems. Computational biology speeds the study of biology, makes new discoveries possible and reduces its cost. Some key problems include:

  • Data mining the human genome
  • Efficient simulation of biological models
  • Analysis of DNA microarray data

The field is inherently multidisciplinary which makes it hard.

The good: It is a clear magazine-style article which gives an overview of Computational Biology.

The bad: It’s not research and doesn’t add anything new to the discussion.

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