Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to study biological data using computational methods. It involves the use of algorithms, databases, and software tools to analyze and interpret biological data such as DNA sequences, gene expression data, and protein structures. Bioinformatics plays a crucial role in advancing our understanding of biological systems and developing new treatments for diseases.
World renowned professor Dr. Alex Feltus from Clemson University has built this powerful computational biology journey including Python techniques to parse genomics data files, transcribe DNA files into RNA files, and translate RNA files into protein sequence files. Students will also explore the genomics of the Coronavirus. Qualifies for the BioHackers: Digital Biology digital badge.
In this Bioinformatics Journey, students will explore how computational environments such as Linux, Jupyter Notebooks, and Python impact biosciences and genomics. In addition, they will gain insights into genome data mining, structural bioinformatics, and systems biology using data-intensive hands-on labs and AI-powered collaboration. Qualifies for the BioHacker: Bioinformatics digital badge.
YouTube sensation, Dr. Josh Vandenbrink, leverages AI-powered curation, hands-on data-intensive compute environments, multisensory online resources, and R Studio to teach students how to use bioinformatics workflows to solve today’s toughest genomics problems. Qualifies for the BioHacker: Bioinformatics with R digital badge.
Earners of the Digital Biology BioHacker credential have successfully demonstrated experiential skills in computational biology, python programming, Linux command line, applied genomics, and running biological workflows on data-intensive computing systems. The Digital Biology badge requires 50+ hours of hands-on activities and labs across 17 skills in biotech R&D. This BioHacker credential was built in collaboration with world renowned professor Alex Feltus, currently at Clemson University.
Earners of the Bioinformatics BioHacker credential have successfully demonstrated experiential skills in computational biology, genome data mining, structural bioinformatics, and systems biology. The Bioinformatics badge requires 75+ hours of hands-on activities and labs across 20+ skills in biotech R&D. The Bioinformatics BioHacker credential was built in collaboration with world renowned professor Alex Feltus, currently at Clemson University.
Bioinformatics with R
Earners of the Bioinformatics with R BioHacker credential have successfully demonstrated experiential skills in computational biology with R, genome data mining, structural bioinformatics, and annotation and characterization of genomic regions. The Bioinformatics with R badge requires 50+ hours of hands-on activities and labs across 15+ skills in biotech R&D. The Bioinformatics with R BioHacker credential was built in collaboration with popular YouTuber and Professor Josh Vandenbrink, currently at Louisiana Tech University.
Top Bioinformatics Careers
Here are the top 10 careers in bioinformatics leveraging the skills earned in these Praxis courses and digital credentials:
- Bioinformatics Analyst: This job involves analyzing large biological datasets using bioinformatics tools and methods to identify patterns, create models, and draw insights from the data.
- Bioinformatics Software Developer: This role involves developing and maintaining software applications for bioinformatics analysis, including designing and implementing algorithms and databases.
- Computational Biologist: A computational biologist applies mathematical and statistical models to understand biological systems and develop new hypotheses.
- Genomics Scientist: This position involves using bioinformatics to study genomes and genetic variations in order to understand how they impact disease and human health.
- Systems Biologist: In this role, you will be responsible for analyzing complex biological systems, such as cellular signaling networks, and developing computational models to study their behavior.
- Bioinformatics Project Manager: This job involves managing bioinformatics projects, including defining project requirements, developing project plans, and coordinating the work of teams.
- Clinical Bioinformatician: This role involves using bioinformatics to support clinical research and patient care, including analyzing patient genomic data to inform treatment decisions.
- Proteomics Scientist: A proteomics scientist uses bioinformatics to study the structure and function of proteins, including identifying protein interactions and post-translational modifications.
- Computational Chemist: This job involves applying computational methods to study the properties and behavior of chemical compounds, including designing new drugs.
- Data Scientist: This role involves using statistical and machine learning techniques to analyze large and complex datasets, including biological data. In bioinformatics, data scientists may work on tasks such as developing predictive models for disease diagnosis or drug discovery.