Forum:What do you want to learn about bioinformatics?

Question

[AlexAbdulkaderKheirallah]

Hi there,

I'm organising a course in bioinformatics and would like to get some insight from prospective students on what they'd like the content of such a course to be. If you're considering doing an online bioinformatics course than I'd really appreciate if you answer all or some of the questions below so I can create the best course there can be.

• What do you want to learn about bioinformatics? More theory or practical hands on lab experience?
• What problems do you face in bioinformatics? What are your biggest challenges?
• How will learning about bioinformatics help you?
• Can you give me some examples and context of when you’ve had problems? When does it occur? How does it affect you? What happens if you don’t solve the problem?
• What resources have you used so far? What was good about them? What was terrible?
• What would be most useful to learn?

Thank you in advance for your inputs.

Best wishes
Alexander

[shuksi1984]

Why should a person choose bioinformatics as a career?

What is so exciting about the course?

Why are we exploring genomics?

How can a Bioinformatics scientist help us in day to day life? (Maybe we can elaborate bioinfo in healthcare)

[GenoMax]

Moving to a forum.

Can you add some information of what kind of course you are thinking of organizing? Will be it be in-person or online? How long will the course last? Would you be providing compute resources or will people need to provide their own? Cost?

[AlexAbdulkaderKheirallah]

It's going to be a structured online course. Still exploring other aspects.

Answer 1

[AlexAbdulkaderKheirallah]

Following on this thread I've created a Udemy course entitled Differential Gene Expression Analysis - Your Complete A to Z. You can enrol for FREE (applies 100% discount) here:

https://www.udemy.com/course/differential-gene-expression-analysis/?couponCode=87A71BFF82875A900495

In this course we'll learn together one of the most popular sub-specialities in bioinformatics: differential gene expression analysis. By the end of this course you'll be able to undertake both RNAseq and qPCR based differential gene expression analysis, independently and by yourself, in R programming language. The RNAseq section of the course is the most comprehensive and includes everything you need to have the skills required to take FASTQ library of next-generation sequencing reads and end up with complete differential expression analysis. Although the course focuses on R as a biological analysis environment of choice, you'll also have the opportunity not only to learn about UNIX terminal based TUXEDO pipeline, but also online tools. Moreover you'll become well grounded in the statistical and modelling methods so you can explain and use them effectively to address bioinformatic differential gene expression analysis problems. The course has been made such that you can get a blend of hands-on analysis and experimental design experience - the practical side will allow you to do your analysis, while theoretical side will help you face unexpected problems.

The course is ideal for:

-STEM graduates who don't have a sufficient grasp of molecular biology and want to start a career in bioinformatics

-Anybody who needs a refresher in biological foundations of bioinformatics and differential gene expression analysis

-Students who want to start a higher degree (MSc or PhD) project related to bioinformatics

-People working at pharmaceutical companies or at university and who want to learn about differential gene expression analysis

-Curious learners that want to gauge bioinformatics and differential gene expression analysis

Any feedback/review on the platform will be appreciated as it'll help me improve student experience.

Thank you