My PhD supervisor, Nicholas Provart, created Expression Angler as part of the original collection of biological data visualization tools on the BAR (Toufighi et al 2005). It calculated the correlation coefficients for all gene expression vectors as compared to whatever gene that a user enters. In other words, it helps users identify Arabidopsis genes with similar expression patterns to any gene of interest. Unfortunately, the layout and messaging in the original tool made it very difficult to use. The interface was 100% text based and users needed to enter their query via a series of text boxes then scroll down several page lengths to find a ‘Submit Query’ button.
I updated the tool by simplifying the messaging and adding a graphic user interface for selecting tissues. Users can now enter their search query by assigning hot or cold colors to a graphic representation of the tissues they are interested in. Effectively, users “paint” an electronic fluorescent pictograph as a search query, and the tool then searches for genes that match it.
It is described fully in "New BAR tools for mining expression data and exploring Cis-elements in Arabidopsis thaliana", published in The Plant Journal (Austin, Hiu, Waese ... Provart, 2016) https://www.ncbi.nlm.nih.gov/pubmed/27401965.
Category Research, Data Visualization, UX Design
Date October 2016
The new graphic interface allows users to "paint" a query by clicking tissues and then using a slider to set a level.
The new output page displays an electronic fluorescent pictograph (EFP) of 25 genes that have similar expression profiles to your Arabidopsis gene of interest. This diagram shows 25 genes with similar expression profiles to ABI5.
The original text based input page was difficult to use.
The original "custom bait" feature required scrolling multiple page lengths and inputting values in text boxes.