@article{TEXTUAL,
      recid = {8858},
      author = {Larsen, Peter and Gilbert, Jack},
      title = {Microbial Bebop: Creating Music from Complex Dynamics in  Microbial Ecology},
      journal = {PLOS ONE},
      address = {2013-03-06},
      number = {TEXTUAL},
      abstract = {<p>In order for society to make effective policy decisions  on complex and far-reaching subjects, such as appropriate  responses to global climate change, scientists must  effectively communicate complex results to the  non-scientifically specialized public. However, there are  few ways however to transform highly complicated scientific  data into formats that are engaging to the general  community. Taking inspiration from patterns observed in  nature and from some of the principles of jazz bebop  improvisation, we have generated Microbial Bebop, a method  by which microbial environmental data are transformed into  music. Microbial Bebop uses meter, pitch, duration, and  harmony to highlight the relationships between multiple  data types in complex biological datasets. We use a  comprehensive microbial ecology, time course dataset  collected at the L4 marine monitoring station in the  Western English Channel as an example of microbial  ecological data that can be transformed into music. Four  compositions were generated (<a  href="http://www.bio.anl.gov/MicrobialBebop.htm">www.bio.anl.gov/MicrobialBebop.htm</a>.)  from L4 Station data using Microbial Bebop. Each  composition, though deriving from the same dataset, is  created to highlight different relationships between  environmental conditions and microbial community structure.  The approach presented here can be applied to a wide  variety of complex biological datasets.</p>},
      url = {http://knowledge.uchicago.edu/record/8858},
}