Frequently Asked Questions

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Educational Platform

Go to and select REGISTER in the top right hand corner. After you have selected register, you should see two options. Option 1: Register with Facebook, Google +, Linkedin, or Twitter. Option 2: Register by creating a username and providing your email and passwords. You should receive email confirmation and then be able to login by going to the same page and selecting LOGIN in the top right hand corner.
Some courses are free, others are paid.
We have a number of instructors, advisors, and co-presenters for these courses. Visit: to see who was involved in creating these exciting courses!
The Tbio.Info Educational platform provided hands-on project based education for learners of all technical levels without any prior experience or coding skills.
Feel free to reach out to or give us a call at +1 (504) 267-7789, and we'll get back to you ASAP!
Nope! It's helpful to have some background knowledge in statistics and biology, but our courses are designed to start learners at the basics before moving to complex material. Especially if you're a beginner, start with the course "Introduction to the Power of Big Data Bioinformatics."

Practical Bioinformatics Learning

If you are a student that is new to bioinformatics, we would recommend to start with our “Introduction to the Power of Big Data Bioinformatics”. This will allow you to get a brief overview of topics in big data bioinformatics and translational biology including health care applications. If you are more familiar with bioinformatics but have joined our courses for a specific interest, such as RNA-seq or metagenomics, feel free to begin this course. All of the courses will introduce our students to the basics/fundamentals in the beginning before digging into the hands-on practice analysis.
Yes, the biggest difference is the size of the data you are working with in our educational projects. The steps are very similar to real bioinformatics data analysis, but you are learning with about 5% of the data a real bioinformatician would actually work with. This allows you, the student, to get an understanding of the steps/process without being limited by computing power.
Currently, no our educational section does not allow for students to integrate their own datasets. But, we do have a fully functional analysis platform: for our research projects. If you are interested, connect with us at and tell us more about your project and how we can help.
We do not have any courses uploaded that deal with multi-omics integration, but we are working on that! We will update all of our students as soon as those projects and lessons become available.
Yes - we will be using publicly available data and tools. We will provide instructions on how to run the analysis in R as well as open source software like the Integrated Genome Viewer and table manipulation software like Excel or Open Office. The platform we provide will be open to all users which will allow for high performance computing infrastructure that will speed up processing time for your analysis.
There will be live sessions with Q&A to interact with trainers. Also one-on-one sessions are available towards the end of the program when independent projects are being discussed.
We will utilize R, but knowledge of R is not required as detailed tutorials will be offered on how to prepare the analysis and deploy it on your computer.

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