The completion of more than 30 mammalian genome sequences has triggered world-wide bioinformatics efforts to unravel its information content. Many projects have been successfully completed in areas such as gene hunting, functional annotation, post-translational modification prediction, protein-protein interactions, transcriptomics, and systems biology. These projects have resulted in large numbers of novel analytic and predictive computer programs. The majority of these developments, though, have focused on harvesting the human genome, transcriptome, proteome, epigenome, etcetera, and considerably less effort has been (until recently) invested in the thousands of other genomes in life science research fields related to unicellular organisms, plants, or animals.
Next generation sequencing technologies have resulted in the feasibility of generating large amounts of genomic information at drastically reduced cost. The analysis of these sequence data requires integration of bioinformatics, statistics and biological data to extract the wealth of information potentially available
This course will focus on the use of these novel bioinformatics tools and technologies to increase the accuracy in the genetic evaluation of breeding animals using genomic information.
The course will give a clear advantage for researchers in the field of animal breeding through the use of the new bioinformatics tools to exploit the whole potential provided by the use of Next Generation Sequencing technologies.
The students will on this course learn how to use bioinformatics tools for the analysis of large re-sequencing data-sets and how to interpret the functional sequence variants. Also how to use software to identify causative sequence variants (SNPs, indels and CNVs) for finding functionally relevant traits, making strong emphasis on its use for genetic improvement.
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