Getting Started with Bioinformatics

Getting Started with Computational Biology for Biologists

Hello, visitor! If you are wondering how to get started with computational biology, you have come to the right place. This is where you will find the courses, projects, and programs that will set you on track to learn and apply biomedical data in your research. To view the full path on getting started, explore the links below or go to the learn portal link and get started!

Expert-Developed Asynchronous Courses to Start with Bioinformatics

OL Introduction to Bioinformatics


Introduction to Bioinformatics: This course provides an overview of how big data bioinformatics is used in basic research, healthcare, and the biotech industry. The topics are organized into 3 major segments: Introduction to Big Data: Bioinformatics, Bioinformatics in Healthcare, Translational Bioinformatics. This course is designed to introduce undergraduate and graduate-level students in biology or related fields to the field of bioinformatics, or the intersection of informatics and biology, and the opportunities that come with the available big data for research and industry.


Bytes & Molecules: This course covers the basic terminology to get started with -Omics data (Transcriptomics, Genomics, Metagenomics, Space Omics). It describes the way DNA stores information, how it gets transcribed and then translated into functional macromolecules. There are also sections dedicated to specific ways we can use technology to read and understand various types of -omics by sequencing, annotating, and analyzing patterns in complex data. This course is intended for all those interested in understanding how the current revolution in biomedical data impacts biomedical research and human health. 

OL Bytes and Molecules
OL BioInfo in R


Getting Started with Bioinformatics in R: As the need for management and analysis of data grows, coding is becoming a must-have skill for a computer biologist. This does not have to be an overwhelming career change for a biologist, so our team put together elementary tutorials to understand programming basics using examples of loading, analysis, and visualization of structured data. By completing this course, anyone will be able to utilize this popular coding language to create objects for analysis using pre-defined packages used by computer biologists in various research projects.


Getting Started with Bioinformatics in Python: as one of the most popular languages used across various disciplines, python is becoming one of the exciting solutions for visualization and analysis of large biological datasets. The extensive support for various bioinformatics use-cases in BIOPYTHON and the growing community that develops machine learning and data science tools for large-scale analytics makes it a must-have skill for bioinformatics analysis. In this course, anyone with knowledge of basic principles will learn to load, visualize and analyze biological data in python.

OL BioInfo in Python

OL Projects


Projects: After you complete the introductory coursework, we recommend trying out case studies prepared by our network of mentors and collaborators that illustrate how various bioinformatics methods and omics data types are used in current research in medicine, biotechnology, agriculture and even astrobiology. Scroll below to learn more or visit this link to see available projects:



Research Projects and Case Studies

There are opportunities to leverage what you know, discover a lot more, and make a difference.

, you might be thinking about how your skills in bioinformatics can make a difference and what can you do to make an impact. That is why it is important to learn about bioinformatics in the context of a research area you can relate to. This includes precision medicine, population health, agrobiology, and astrobiology - all areas with active utilization of omics data. Learn more by exploring some of the projects and programs we offer that cover these areas in detail.

Omics Logic Bioinformatics Tracks to Explore

Omics Logic T-BioInfo User-friendly


Instead of long-term technical training, choose a user-friendly option for complex analysis

Omics Logic Data Science for Biomedical Data


Learn to use R or Python to wrangle, visualize and analyze complex datasets

OL About


Opportunity to work with mentors to develop and complete a research study

Livia Bomediano Camillo
"The program was very helpful, I learned a lot of new things - I'm thinking about acquiring access to the software as my lab team is also interested in it. It was very helpful because we have a lot of people here that don't have much knowledge in bioinformatics and the software is very intuitive."
- Livia Bomediano Camillo, Post Doctoral Student in Bioinformatics.
Dr. Saumyaranjan Mallick
"I joined to learn NGS data analysis. I realized that the T-Bio.Info platform is very user friendly and will help me understand RNA-Seq data analysis in a simplified way. This course was well organised. The materials are self explanatory and well designed. I enjoyed the practical sessions and I am hoping to apply these skills in my projects to analyze my own data"
- Dr. Saumyaranjan Mallick, Assistant Professor of Pathology
Pooja Yalala (1)
"I'm a data enthusiast and I joined the course because I wanted to have hands-on experience dealing with real data. The concepts were well explained with links to a lot of informative videos. The modules had detailed explanations for the logic behind the pipelines. Every time I was stuck, my queries were answered immediately"
- Pooja Yalala, Graduate Student
Emeka Patrick Chukwuka
"It has been a long journey for me. Resources like Learn.omiclogic helped me tremendously to gain so much in a very short time. I will always find myself coming here to gain the much needed insight, knowledge and skill of bioinformatics, programming and research. I really feel so excited about practicing the lessons here".
- Emeka Patrick Chukwuka, PhD Laboratory Specialist Maternity and Children’s Hospital

Register below to Get Started