diversity uses a Bayesian approach to detect multiple modes of protein-DNA binding from high throughput ChIP data. It is available both as a web based application and as a downloadable software.


diversity presents a Bayesian Model to identify different modes of protein-DNA bindings without relying on any motif database.

This is applied to ChIP-Seq datasets in the form of fasta file and it requires no prior knowledge regarding the binding characteristics of the protein or the motif databases. It reports the sequence regions that are likely to cause a specific region to be reported in the ChIP experiment.

The following files are saved upon execution in the OUTPUT directory:

The web server provides an option for 2 types of input files. If input is a FASTA file, then the above files are created in the OUTPUT. If input is BED file, then along with the above files, following files are also created for each model learned.

Diversity can be run with several options in order to optimize the execution time and the results.

For a detailed documentation you may refer to Documentation.pdf.

Publication: Mitra, S., Biswas, A., & Narlikar, L. (2018). DIVERSITY in binding, regulation, and evolution revealed from high-throughput ChIP. PLoS computational biology, 14(4), e1006090. [Full Text]

For more information, contact: l.narlikar@ncl.res.in.