Interactive Exploration, Analysis, and Visualization of Complex Phenome-Genome Datasets with ASPIREdb
Year: 2016
Type: article
Abstract: Identifying variants causal for complex genetic disorders is challenging. With the advent of whole-exome and whole-genome sequencing, computational tools are needed to explore and analyze the list of variants for further validation. Correlating genetic variants with subject phenotype is crucial for the interpretation of the disease-causing mutations. Often such work is done by teams of researchers who need to share information and coordinate activities. To this end, we have developed a powerful, easy to use Web application, ASPIREdb, which allows researchers to search, organize, analyze, and visualize variants and phenotypes associated with a set of human subjects. Investigators can annotate variants using publicly available reference databases and build powerful queries to identify subjects or variants of interest. Functional information and phenotypic associations of these genes are made accessible as well. Burden analysis and additional reporting tools allow investigation of variant properties and phenotype characteristics. Projects can be shared, allowing researchers to work collaboratively to build queries and annotate the data. We demonstrate ASPIREdb's functionality using publicly available data sets, showing how the software can be used to accomplish goals that might otherwise require specialized bioinformatics expertise. ASPIREdb is available at http://aspiredb.chibi.ubc.ca.
Source: Human Mutation
DOI: 10.1002/humu.23011
Authors: Powell Patrick Cheng Tan, Sanja Rogic, Anton Zoubarev, Cameron McDonald, Frances Lui, Gayathiri Charathsandran, Matthew Jacobson, Manuel Belmadani, Justin Leong, Thea Van Rossum, Elodie Portales-Casamar, Ying Qiao, Kristina Calli, Xudong Liu, Melissa Hudson, Evica Rajcan-Separovic, ME Suzanne Lewis, Paul Pavlidis
Language: English
Topic: Genomics and Rare Diseases
Subfield: Genetics
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W2346533386
