The advance of sequencing technology has spurred an ever-growing body of sequence tag–based data from protocols such as RNA-seq, chromatin immunoprecipitation (ChIP)-seq, DNaseI-hypersensitive site sequencing (DHS)-seq and cap analysis of gene expression (CAGE). Large-scale consortia are applying standardized versions of these protocols across broad collections of samples1,2 to elucidate genomic function. Beyond this, the affordability of these systems and availability of sequencing services has made these technologies accessible to smaller laboratories focusing on individual biological systems. Data generation is only the beginning, however, and a substantial bottleneck for many labs is going from sequence data to biological insight, especially when the volume of data overwhelms standard paradigms for data visualization. Here, we present a web-based system, ZENBU, which addresses this problem by extending the functionality of the genome browser (Supplementary Fig. 1).
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