Open source libraries and frameworks for biological data visualisation: a guide for developers.

ABSTRACT: Recent advances in high-throughput experimental techniques have led to an exponential increase in both the size and the complexity of the data sets commonly studied in biology. Data visualisation is increasingly used as the key to unlock this data, going from hypothesis generation to model evaluation and tool implementation. It is becoming more and more the heart of bioinformatics workflows, enabling scientists to reason and communicate more effectively. In parallel, there has been a corresponding trend towards the development of related software, which has triggered the maturation of different visualisation libraries and frameworks. For bioinformaticians, scientific programmers and software developers, the main challenge is to pick out the most fitting one(s) to create clear, meaningful a

SUBMITTER: Wang R 

PROVIDER: S-EPMC4409855 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature