Hi! I'm a bioinformatician, AMA!
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- čas přidán 22. 08. 2024
- In this AMA, the following topics were discussed: Your Portfolio, R vs Python, Large Language Models (LLM / GPT-3), Plant breeding, Drug discovery, A Pure Bioinformatics versus a more traditional Biology Lab environment, Bioinformatics in Sports Science, and Microbiome analysis.
I shared my personal experiences in bioinformatics, including insights about my time working in Germany and my advice for students and professionals. If you're interested in getting started in bioinformatics, I recommends taking the following steps:
- Gain a strong foundation in biology, computer science, and statistics
- Become proficient in at least one programming language, such as R or Python
- Build a portfolio of your work/projects
- Network with other bioinformatics professionals
A portfolio is a collection of your work that demonstrates your skills and experience in bioinformatics. A portfolio is an invaluable tool when applying for jobs or fellowships. The best programming languages for bioinformatics to start off with are R and Python. R is a statistical programming language that is well-suited for data analysis. Python is a more general-purpose programming language that is becoming increasingly popular in bioinformatics. Bioinformatics is a rapidly growing field with many opportunities for growth.
The future of bioinformatics
believe that bioinformatics will continue to be an important field in the future, especially in the areas of drug discovery, genetics, environmental sciences, and microbiome analysis. Large Language Models (LLMs) such as GPT-3 can be a valuable tool for natural language processing, and will become increasingly more common in Bioinformatics. However, it is important to remember that they do not have domain knowledge or a sense of what is true or false. I provide advice on how to extend research results and the potential impact of chatGPT on bioinformatics in the future.
Some recommendations
I recommend the r/bioinformatics subreddit for community discussion and learning. As a second programming language, I would advice C or C++ for heavy number crunching to supplement R or Python.
I would like to thank everyone who participated and plan to do more AMA sessions in the future.
#bioinformatics #computationalbiology #AMA #lazysunday #educational #streaming #rlanguage #python #ai #chatgpt #microbiome #askmeanything #future
I have done on wet lab for long times, so I don't have many experiences on dry lab. I want to learn a PhD program about bioinformatics and work to new environment in the future due to negative affect from wet lab. Please give your advice to me to I can start to learn about writing code.
My advice is always that people should build up programming experience, this can be done by taking online courses (e.g. like the R course on my channel) and then applying their knowledge in applied projects (e.g. replicate work from bioinformatics paper, try new ways to analyse known datasets). Do this on a platform such as GitHub to build up an online profile such that possible future employers can see you work.
@@DannyArends Thanks for your advice. I am learning about Rstudio from your video on CZcams. Can I send my question to your email if I have a problem? Or do you receive to direct a Master or PhD student in your university?
If you have questions than either ask them under the video or just send me an email (my email is on the about page).
I do not understand what you mean with the second question "Or do you receive to direct a Master or PhD student in your university?", could you rephrase it to make it more clear ?
@@DannyArends It means that whether you receive a student to be advisor if I want to study Master and PhD degree about Bioinformatics.
I do supervision of MSc students for the Master Projects (both internally at Northumbria as well as externally), and I am supervising PhD students. However, at the moment I do not have any funding for open PhD positions.
44:36 How to really learn how to bioinfo? I think it is making projects...
Yep, experience builds up over time, that is why it's important to keep doing new things, instead of the same trick over and over.