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| - | + | ===== <TITLE> (Bachelor/Master) ===== | |
| - | ===== Improvement of Sequence-to-Graph Alignment (Bachelor) ===== | + | <Project description> |
| - | [[https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=70863414|Tizian Schulz]] //(Please also refer to the project page: [[https://gitlab.ub.uni-bielefeld.de/gi/plast|PLAST]])// | + | |
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| - | PLAST is a new heuristic method to find maximum scoring local alignments of a DNA query sequence to a pangenome represented as a compacted colored de Bruijn graph. The first method has been published [[https://doi.org/10.1093/bioinformatics/btab077|here]], but there exist various ideas how to improve the method. Some are well suited for a Bachelor thesis. Contact Tizian for details. | + | |
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| - | ===== Medical Bioinformatics Projects in Australia (Master) ===== | + | |
| - | [[https://ekvv.uni-bielefeld.de/pers_publ/publ/PersonDetail.jsp?personId=65864|Jens Stoye]], [[https://genomics.uq.edu.au/profile/263/lutz-krause|Lutz Krause]] //(University of Queensland Diamantina Institute, Brisbane, Australia)// | + | |
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| - | In collaboration with the Computational Clinical Genomics Group at the University of Queensland Diamantina Institute, Brisbane, Australia, we develop and apply bioinformatics and data-mining methods in the context of biomedical research. Student projects are available in the context of biomarker discovery for cancer, genome-wide epigenetic association studies, analysis of next-generation sequencing data, mining and visualizing the human microbiota, evolutionary genomics of human parasites, calling structural variants from next-generation sequencing data and genome-wide association studies (GWAS). | + | |