Currently UCSC Xena is designed in such a way that each row is a sample and columns are data types. Biologists often need to study the different versions of a gene called transcripts. Transcripts are important because an increase in the abundance of one of the versions may lead or drive cancer. This project aims at building a new application where the rows will be transcripts and columns will be data types about that transcript. Both the applications will then be linked giving users a smooth toggle between the sample centric and transcript centric views about the same underlying data. The project also proposes to blend the visual spreadsheet view and the chart view in a way that a column will plot the transcript expressions across a set of samples.



Akhil Kamath


  • Brian Craft
  • Angela Brooks