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Doing a bioinformatics PhD: Simple advice on how to plan your PhD and avoid disaster 

Lars Juhl Jensen
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Simple advice on how to plan your PhD and minimize the risk of disaster. I first talk about when to take courses and which types of courses I recommend, which is courses directly related to your project or transferrable skills such as scientific writing, presentation technique, and project management. I will then explain how to make a project plan that maximizes efficiency and minimizes risk of failure, and the dangers of relying on future data. Afterwards, I will give some advice on how to do the actual project work and how to publish during your PhD.
0:00 Introduction: simple advice for new PhD students and supervisors on how to avoid disaster
0:23 Course plan: systems vary greatly, earlier is better, project relevance, and transferable skills
1:05 Project plan: best part of bioinformatics, multiple projects, risk reduction, stacked risks, dependency minimization, and parallel work
2:06 Data foundation: worst part of bioinformatics, data reliance, data delays, future data, and contingency plan
3:14 Doing the projects: look at the data, automate analyses, use version control, create example data, and focus on the science
4:38 Publishing: writing a review or not, safe first papers, collaborative papers, and the main paper

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12 июн 2024

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Комментарии : 13   
@foteiniaktypi3122
@foteiniaktypi3122 Год назад
Thank you for yet another great video with very much needed advice 🙂
@martinhofmann-apitius408
@martinhofmann-apitius408 Год назад
Really nice, Lars. Will point at this video in my next tutorial for bioinformatics students ...
@larsjuhljensen
@larsjuhljensen Год назад
Thanks so much Martin!
@maasha2001
@maasha2001 Год назад
My favorite disaster starts like this:"Come and do this project, we are getting this exciting data from . It should be available in a few weeks ..."
@maasha2001
@maasha2001 Год назад
And you mention it beautifully a couple of minutes in!
@larsjuhljensen
@larsjuhljensen Год назад
Yes it's a classic!
@glassfabrikat
@glassfabrikat Год назад
Great advice! Thank you! :D
@larsjuhljensen
@larsjuhljensen Год назад
You are most welcome!
@maiaallman4635
@maiaallman4635 Год назад
If I want to do research to determine which factors, and to what degree, determine blood glucose levels (against a time scale), does that count as bioinformatics?
@larsjuhljensen
@larsjuhljensen Год назад
It depends on how you plan to do the research more than on the question. If the bulk of the work is to do experiments to answer your research question, then it is not a bioinformatics PhD (even if the analysis part may be bioinformatics). If your work is to analyze data but not to produce data, then it would fit into what I very broadly call bioinformatics here. Medical informatics would probably be the more accurate term, but my advice would be exactly the same :-)
@anngu2533
@anngu2533 Год назад
Thank you! I’m interested in doing network analysis on modelling microbiome activities. Does that belong to bioinformatics?
@larsjuhljensen
@larsjuhljensen Год назад
Certainly, but the big question is where the data to create the network would come from?
@anngu2533
@anngu2533 Год назад
@@larsjuhljensen I searched for related articles, most of them are based small scale dataset. That’s the problem indeed.
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