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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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-quality, chromosome-level genome sequences and perform additional genome resequencing of species from different mimicry rings. The project combines molecular biology with cutting-edge bioinformatics
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methodologies including, DNA isolation, library preparation and sequencing as well as bioinformatic skills to analyse the acquired sequencing data. The project will be supervised by Dr Hellmich and Prof Rushworth
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the student with training in diverse techniques related to molecular and cellular biology, bioinformatics and protein biochemistry. A key activity in this project will be the use of targeted reverse genetics
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undertake fieldwork (optional) to collect samples and extend the fitness database, molecular work to sequence additional genomes, and bioinformatics to define mutation-effect scores, thus generating
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structural variation analysis. Training: You will develop a broad set of skills in computational biology, genetic analysis, bioinformatics, and scientific writing. You will also gain expertise in evolutionary
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unique proteins function. In addition to mass spectrometry, the Leney group utilises SDS PAGE, chromatography, UV-vis spectroscopy, fluorescence spectroscopy, bioinformatics and in collaboration with
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mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent
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sequencing, bioinformatics, fieldwork, and statistical analysis. Health and performance decline with age in humans and other animals, but the consequences for offspring of older parents remain unclear. Since
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven