This week we have started to analyze the data Lawrence David has
sent from his study and downloaded the Impro-Visor program (http://sourceforge.net/projects/impro-visor/) used in the Microbial
bebop study. Impro-Visor will allow us to convert datasets into sheet music which we will need to teach the choir our songs.
In order to use the data in Impro-Visor we will have to normalize the data points of interest and then assign musical notes to each of the selected data points. The data points will be selected on the basis of what relationships we choose to investigate.
In order to use the data in Impro-Visor we will have to normalize the data points of interest and then assign musical notes to each of the selected data points. The data points will be selected on the basis of what relationships we choose to investigate.
This coming week each of us will identify one relationship and normalize the data points needed to import into Impro-Visor.
We have also decided, after another skype meeting with Jack Gilbert and Peter Larsen, that to make the interaction with the school children more educational, we will be making them perform a small play while they are singing. A short interactive story explaining what happened to the subjects in terms of the relationships we have chosen to explore would probably be the most fun and educational for the children. If you have any suggestions or tips for us please feel free to leave a comment below.
We would also like to thank Peter for creating a small musical piece to show us that this project might actually work out in the end!
Peter created and sent us a short song using Impro-Visor of the data obtained from Lawrence's data sets. Although the song is virtually composed, it demonstrates exactly what we aim to do with our project, but in an acapella fashion.
https://soundcloud.com/carlbruce/testingmicrobiomedata (melody = 6 most abundant orders, notes = caloric intake, chords = fiber)