World-renowned professor and researcher Dr. Josh Vandenbrink from Louisiana Tech University has built a follow up computational biology journey to his previous course, "Introduction to Python for Computational Biology". In this interactive, online journey, students will gain a more advanced understanding of the Python programming language, and an introduction into the techniques encompassing the BioPython suite of tools for the purpose of workforce development and research in biosciences.
This course includes application techniques using BioPython to sequence objects, sequence annotation objects, sequence input/output, multiple sequence alignment, Blast, Entrez, and an introduction to Computer Vision for Phenomics. Qualifies for the BioHackers: Advanced Python digital badge.
Journey Architecture:
The online program is available 24x7x365 via any web browser or mobile device and includes four (4) learning paths, seventeen (17) lessons, and over fifty (50) hours of learning material. Below is a list of the main topics:
- Sequence Objects
- Sequence Annotation Objects
- Sequence Input/Output
- Multiple Sequence Alignment
- Blast
- Entrez
- Introduction to Computer Vision for Phenomics
Digital Credentials:
Earners of the Advanced Python BioHacker credential have successfully demonstrated experiential skills in advanced computational biology, python programming with BioPython, sequencing, applied phenomics, and running biological workflows on data-intensive computing systems. The Advanced Python 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 professors Dr. Alex Feltus, currently at Clemson University, and Dr. Josh Vandenbrink from Louisiana Tech University.
Following is a summary of the earning criteria for the BioHackers: Advanced Python digital credential:
- Complete 17 hands-on digital biology labs using large bioscience data sets and live computing systems
- AND - Complete all required learning resources in the Advanced Python online journey – 17 lessons – including, videos, articles, activities, and discussion posts
- AND - Pass short assessments (80% or better) in all lessons
- AND - Participate in weekly virtual collaboration sessions with instructor(s), mentor(s), and peers
- AND - Conduct advanced computational biology research using the skills, resources, and tools within the Computational Biology journey