Over the past few months, our team has been working on courses and projects that we hope can make bioinformatics more accessible to biologists, computer scientists, and everyone in between. Most bioinformatics education courses focus on technical issues rather than the bigger picture of big data and its potential to change the way we view disease and treatment discovery. The result is an approach to bioinformatics which ignores biology.
Our courses contain projects crafted using open source data contain detailed biological information, broken down into digestible, easy-to-manipulate visualizations, offering scientists and students alike a new means of working with ‘omics data—without expensive the technology and coursework.
Introducing T-BioInfo in Education
Here is a tutorial video which walks the user through some features of the T-BioInfo Platform:
As we get ready to launch, we need you to help millions of non-bioinformaticians get their hands on the wonderful public domain data that has been collecting dust at the NIH servers. For now, users are invited to test our two courses, “Introduction to the Power of Big Data and Bioinformatics” and “Transcriptomics”.
What Needs Testing
We want to make sure that the simple technical aspects of our site function properly for our users, such as loading pages, playing videos, completing quizzes, navigating between pages, etc. We also want to that the concepts are clear to users and one can follow the course as it develops.
We will use the tester’s comments for course optimization, integrating as much feedback as possible into the design of our program. We are seeking feedback on technical bugs, course content, and are open to suggestions for improvements. After taking our courses, kindly record any information you would like to provide in our user survey here.
If you know others who may have an interest in learning to analyze their own data without coding, please forward our initiative. We welcome all who are interested to join our team of beta testers.
Also, if you have an interesting dataset we should consider, please drop us a line at firstname.lastname@example.org