Poxvirus based vectors have been established as a potent system for the development of candidate recombinant vaccines for many viral diseases. The coats of mice contain four major hair follicle subpopulations: guard hairs, awl and auchene hairs, and zigzag hairs. Formation of each kind of hair follicle starts at E14, E16, and E18P3, respectively and the regulatory mechanisms of hair follicle development are slightly different among them. Epidermal NF-kB activity is first observed in the placodes of primary guard hairs at E14.5. In the case of AHSV, the potential of poxvirus vector vaccination has been demonstrated using a recombinant Vaccinia virus strain) expressing AHSV-4 VP2. However, WR strain derived vaccinia viruses still replicate in mammals and some concerns exist over their safety. For this reason, the use of poxvirus vectors with limited replication capacity, are preferred for vaccine development. The modified vaccinia Ankara strain was derived after more than 570 passages in primary chick embryo fibroblasts. The resulting virus has lost the ability to productively infect mammalian cells. Virus replication is blocked at a late stage of morphogenesis in mammalian cells, leaving expression of late, as well as early, viral genes unimpaired. MVA was shown to be non-pathogenic even for immunodeficient animals and recombinant viruses were found to be able to synthesise high levels of a foreign protein in human cells, demonstrating the potential of MVA as a safe and efficient expression vector. Recent studies have also provided evidence for the safety and immunogenicity of recombinant modified vaccinia Ankara in ponies. For these reasons recombinant MVA was chosen as a vector for AHSV antigens. Single serotype of SVCV made it easy to establish the immunological detection methods. Using previously published genetic and proteomic interactions, we successfully predicted and identified new IR resistance genes based on interactions with members of the CCR4 damage response network. A similar approach using the published genetic and proteomic interactions GSI-IX annotated within the SGD identified five DOX resistance genes that were not detected in the primary screen and exhibited an intermediate sensitivity to DOX induced cytotoxicity. Interestingly, all of the DOX resistance genes successfully identified in this manner were predictions based on genetic but not proteomic interactions. That is, each partition of the data set is achieved by learning a linear classifier of the probe-level aCGH profiles that assigns samples to one group or the other. We also build on ideas developed for supervised classification of aCGH samples, in particular, the use of piece-wise constant and lasso regularization terms in the optimization problem, which encourages the classifier to make decisions using only a small number of probes in informative contiguous regions.