Sonification Algorithms for Biological Data Analysis

Dear Colleagues,

The conversion of data into sounds makes it possible to represent a wide variety of primary data acoustically and at the same time enables new ways of data analysis. In addition to purely mathematical and visual methods of analysis and representation, these approaches can facilitate the understanding of complex interconnections. In the field of biology and biomedicine, "sonification" or "data-to-music" algorithms are used for various questions. These algorithms are particularly interesting for the analysis of multidimensional data sets, such as those generated by modern high-throughput methods in the field of nucleic acid and proteome analysis. The range of applications includes, for example, the representation of nucleic acid and protein sequences and structures, the analysis of electrophysiological, ecological, epigenetic or gene expression data. Furthermore, this research area offers an interesting example of the connection of science and art, insofar as the sounds generated by sonification algorithms can certainly bear the character of real music. There are different strategies for converting data into sounds, and different solutions are plausible depending on the underlying research question.

For this Special Issue, we particularly encourage the submission of manuscripts dealing with sonification of biological and biomedical data. We welcome manuscripts in the form of original research, reviews, short communications, perspectives, and commentaries of the aforementioned topics and domains.

Prof. Dr. Martin S. Staege
Guest Editor

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