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Elad Oren


Computational framework for NGS-based mapping and candidate genes prioritization in multi-allelic designs in melon


In the post-genomic era, the link between genetic maps and physical genome assemblies is key for leveraging QTL mapping results for gene cloning and breeding purposes. As part of this project, a comprehensive data has been constructed from various populations (currently consists of 36,000 phenotypic data points) to allow mapping of multiple fruit related traits in a comparative framework. Community tools are being developed to help prioritize the multitude of genes found in the different loci such as sequence augmentation from fully sequenced lines, cross referencing of expression data, automated functional annotation, and interaction networks where applicable.  We expect that this multi-allelic comparative approach will improve mapping confidence and resolution of key agricultural traits, including earliness and fruit

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