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@@ -32,10 +32,11 @@ Here are a few papers that caught our eye, maybe they inspire you (feel free to
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Choose one type of project that better fits your interests:
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1. Go into detail into analyses
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2. Build a broader research proposal
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2. Build a broader research proposal
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1. This type of project is more hands-on. You might write your own script(s), run your own analyses and produce your own plots. The idea here would be to focus on one of the methods/analyses we covered in the course and to go deeper into the analysis. In any case, the question you want to address should be clearly defined.
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## Detailed Analyses
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This type of project is more hands-on. You might write your own script(s), run your own analyses and produce your own plots. The idea here would be to focus on one of the methods/analyses we covered in the course and to go deeper into the analysis. In any case, the question you want to address should be clearly defined.
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An example: "What are the differences between functional annotation done with Pharokka and Genomad?".
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- What will be the inputs and outputs?
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- Which programs will (do you plan to) use?
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- What are your expected results?
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-
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Note that hypotheses do not need be proven. We want to see from you as results:
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Output (a table or a figure)
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Interpretation of the output: what does the data tell you?
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Does it answer your question? It does not have to. In a negative case, can you say what you might do differently next time
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2. This type of project is more in the style of a research proposal with a broader scope. You should focus on the biological questions and how to address them using viromics.
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## Research Proposal Style
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This type of project is more in the style of a research proposal with a broader scope. You should focus on the biological questions and how to address them using viromics.
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Your hypothesis and aims should be clear and backed-up by the literature.
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- Estimate the complexity of the problem
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# Presentation
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- expected results
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- Hypotheses don't need be proven - can be null hypothesis
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- If you choose to do the detailed analyses:
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- Generate an output (a table or a figure)
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- Interpretation of the output: what does the data tell you?
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- Does it answer your question? (It doesn't have to, you can say what you might do differently next time)
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Presentation
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- comprehensive
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- has to connect back to hypothesis
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# Exercise
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- Present the project you worked on
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- Limitations
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- Things you found particularly interesting
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- Any lessons learnt
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Your project notes should still go into your lab book
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> ## Exercise
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> 1. Once you have an idea of a research question, take some time to talk about your idea with your fellow students.

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