What is it about?

It is a web application that may be used freely (without fees) and without having to register to use, where users may upload a set of human genes, and find out what pathways, diseases (including GWAS) and drugs are associated with their protein products. It gives these annotations not only for the input gene set but for their protein interactome which includes the protein-protein interactions of the input genes and also the shortest paths that connect them to each other. Also, the tool gives not only the associations but their statistical significance of association. It presents a visualization of the interactome, and also makes the network available for download (in plain text format as as well .SIF format that would be compatible with applications like Cytoscape).

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Why is it important?

Often biologists find specific genes of their interest - often, these genes could be what are differential expressed in disease cases, or those whose mutations are significantly associated to diseases. The next step in understand what the role of these genes is to that disease is to understand what these genes play a role in. There are commercially available tools for comprehensive analysis of gene sets, but they are very expensive. So, a majority of scientists may not own a license to use them. Here, we make a freely accessible website where biologists (or others) can upload a set of genes and get a picture of what they are involved in, at the click of a button. Of course, those can have a license to commercial applications may get more details than what are presented here, but for others, this website presents a pretty detailed set of annotations. Also we integrated interactome network into the analysis - thus, the users see not only annotations of the proteins that they have input but also association and statistical enrichment when the set is expanded to include their protein-protein interactions.

Perspectives

We designed this website so that it can reduce the burden of biologists in manually using different tools.. we reduced the number of clicks/steps to get to the results. My co-author, who was a graduate student at that time, made a Video demo and web-based interactive demo, wrote Help pages and answered FAQs to make it easy to understand the application. I really like how he made information available that caters to different preferences of people (watch video, versus go step-by-step versus peruse everything in a single page). Watching this material after a few years of publication motivated me to share this publication here on Kudos.

Madhavi K Ganapathiraju
University of Pittsburgh

Read the Original

This page is a summary of: LENS: web-based lens for enrichment and network studies of human proteins, BMC Medical Genomics, December 2015, Springer Science + Business Media,
DOI: 10.1186/1755-8794-8-s4-s2.
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