Motifs discovery is a fundamental task in molecular biology since it is well known that proteins sharing the same motifs belong to the same domains and perform the same cellular activity.

Many algorithms have been developed to detect frequent motifs given a set of proteins. However, this information is of limited use: to superimpose a single set of frequent motifs over the whole dataset is often an oversimplification that overlooks important pieces of information.

MotifsLinker is a de novo framework allowing one to cluster the input proteins and to associate them with their characteristic motifs. In this way a richer set of motifs can be individuated, each one specialized on a portion of the sequences in the whole dataset.


Motifs Linker web interface


Cordero F., Visconti A., and Botta M., A new protein motif extraction framework based on constrained co-clustering In Proceedings of the 24th Annual ACM Symposium on Applied Computing ACM Press, March 2009, Hololulu, Hawaii USA

Cordero F., Visconti A. ,and Botta M., A web interface to extract protein motifs by constrained co-clustering RECOMB Satellite on Regulatory Genomics 2008 Boston MIT Broad Oct 28 Nov 2 2008, Boston


Visconti A., Cordero F.