Applied Bioinformatics for Beginners


Grades: 9-11

• 10:00 am Eastern Time (New York Time)

Studying biological science is quickly evolving from "doing experiments" to "doing experiments and analyzing bioinformatic data." The technology to capture genomic, proteomic, metabolomic data together with our need to do so for human health (such as the recent COVID-19 pandemic), is making data analysis a crucial part of studying biology. This course will help you understand what is bioinformatic data, and teach you how to analyze them. It will not only give you the knowledge from analyzing data during the course, but it will also give you the tools to figure out for yourself how to analyze new kinds of bioinformatic data. This course will enrich your summer by opening your door to the most important part of biology and medicine today.

Nur-Taz Rahman, PhD

PhD - Postdoctoral Associate - Simbonis Fellow in Bioinformatics - Yale University

Nur holds a PhD in Cell Biology from Yale University. She is very excited to be part of the Bioinformatics Support Group at the Yale Cushing/Whitney Medical Library as their Simbonis Bioinformatics Fellow. Dr. Nur Rahman has more than 10 years of experience as a biomedical researcher, and while working her PhD, she developed a passion for Bioinformatic Analysis. Even though Nur’s training was purely in the biological sciences, she taught herself coding and scripting to analyze large, Next Generation Sequencing datasets to advance her research. Due to her unique "damp lab" experience (expertise in both bench-side techniques and in-silico data analyses) she has a holistic approach towards data analysis.

Program Calendar:
January 11-22, 2021
(Monday – Friday)
Real-Time Classes Duration:
1 hour & 45 minutes long
(with a 15-minute break).
Max Class Group:
Small class size
(20 students max)

Grades 9-11

For grade 9 students all course options are available.





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