The post-genomic era with its wealth of sequences gave rise to a broad range of protein residue-residue contact detecting methods. Although various coevolution methods such as PSICOV, DCA and plmDCA provide correct contact predictions, they do not completely overlap. Hence, new approaches and improvements of existing methods are needed to motivate further development and progress in the field. We present a new contact detecting method, COUSCOus, by combining the best shrinkage approach, the empirical Bayes covariance estimator and GLasso.
Availability: COUSCOus is also available as
Qatar Genome Programme is an initiative that aims to use the latest DNA sequencing technology to establish a genome map of the local population. It uses a collection of samples and data from Qatar Biobank participants to identify genotype-phenotype associations relevant to the Qatari population. This will provide unique insights that would enable the development of personalized healthcare in Qatar.
QCRI Bioinformatics group is part of the QGP consortium and is involved in solving how the Whole Genome Sequencing Reveals the Germline Landscape of Cancer-Susceptibility Genes Variation in Qataris population.