Querying RNA Databases

Querying RNA Databases

PI Dr. Jon Ling (JHU)

This research project aims to provide researchers with a way to query publicly available sequencing databases (e.g. SRA, GTEX, and TCGA) to look for patterns of splicing and gene expression. The results will help researchers to rapidly query existing data and discover new, unexpected associations between datasets. Alternative splicing generates extraordinary phenotypic complexity in all tissues and cell-types and the ability to query publicly available data for splicing events and gene expression across different contexts will provide researchers with methods to better understand mechanisms relevant to the maintenance of protein isoform expression and specificity.

Although large databases of sequencing information currently exist, parsing through the data requires analyzing datasets individually. This website will allow researchers to fully leverage the vast amount of data available in their search for splicing events by building a querying software that can be used quickly and easily. As such, it increases the accessibility of sequencing data for identifying splicing or gene expression enrichment events of interest.