| Literature DB >> 27158917 |
Powell Patrick Cheng Tan1, Sanja Rogic1, Anton Zoubarev1, Cameron McDonald1, Frances Lui1, Gayathiri Charathsandran1, Matthew Jacobson1, Manuel Belmadani1, Justin Leong1, Thea Van Rossum1, Elodie Portales-Casamar1, Ying Qiao2,3, Kristina Calli3, Xudong Liu4,5, Melissa Hudson4, Evica Rajcan-Separovic2, Me Suzanne Lewis3, Paul Pavlidis1.
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.Entities:
Keywords: WES; WGS; computational biology; genotype-phenotype; visualization; whole-exome sequencing; whole-genome sequencing
Mesh:
Year: 2016 PMID: 27158917 PMCID: PMC4940263 DOI: 10.1002/humu.23011
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878