Facilitated analysis of large data sets by interactive visualisation

In biological research analysis of large data sets, such as RNA-seq gene expression, often involves visualisation of thousands of data points and associated database query. Static charts produced by traditional tools lack the ability to reveal underlying information, and separated database query is laborious and involves a lot of manual effort. Interactive charting is able to make the data transparent but the use of visualisation tools often requires certain programming skills, which hinders most academic users. We present here an open-source chart editor for interactive visualisation, which is designed for academic users with no programming experience. It can not only visualise the data in an interactive way, but also link the data points to external databases, by which the user can save a lot of manual effort. We believe that interactive visualisation using such tools will facilitate analysis of large data sets as well as presenting and interpreting the data.