Bioinformatics Intern, TGen (Summer 2010)
Proteomics research is a highly data intensive process. By improving the available tools for visualization and data processing, analysis will be made faster and more reliable. Improving a piece of software requires an understanding of what the user is trying to accomplish and how well the software matches his/her needs. The existing software, an open-source project called Inferno, needed better visualization tools and to incorporate meta-analysis functionality.
Working within Inferno, written in the R programming language, I rewrote the visualization tools using a package called ggplot2. Meta-analysis functionality was added by using open-source packages and databases managed by the bioinformatics community. This functionality automated tedious post-analysis searches within the Inferno analysis environment.
Working within Inferno, written in the R programming language, I rewrote the visualization tools using a package called ggplot2. Meta-analysis functionality was added by using open-source packages and databases managed by the bioinformatics community. This functionality automated tedious post-analysis searches within the Inferno analysis environment.
