Bioinformatics
BIOL-40236
Bioinformatics is the glue that allows us to manipulate, utilize, and learn from vast amounts of biological data. Bioinformatics tools and databases enable various scientific, technological, and biomedical applications that would otherwise be impossible to achieve. Familiarity with bioinformatics concepts and widely used tools allows one to leverage biological data effectively to produce useful biological information. This course will cover the three pillars of bioinformatics fundamentals - command line basics, creating and using databases, and introductory programming (in Python). In learning these, you will use resources like NCBI's Entrez and EBI and popular analysis tools such as sequence search (BLAST), gene prediction, and more. Together, these tools provide an excellent overview of how bioinformatics is applied in the industry.
Course Information
Course sessions
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
No textbook required.
Policies:
- No refunds after: 7/21/2025
Schedule:
Instructor:
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Joshua Orvis
His primary research areas include genomic annotation, transcriptomics, data visualization, and metagenomics. His preferred toolbox includes the LAMP stack (with Python), distributed grid computing, cloud computing, etc.
When off the clock, he loves spending time with his four (teenager!) kids, disc golf, reading, writing, drawing, and working on his collection of cars, which is larger than it should be.
Section ID:
Class type:
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Textbooks:
All course materials are included unless otherwise stated.
Policies:
- No refunds after: 9/29/2025
Schedule:
Instructor:
Joshua Orvis
His primary research areas include genomic annotation, transcriptomics, data visualization, and metagenomics. His preferred toolbox includes the LAMP stack (with Python), distributed grid computing, cloud computing, etc.
When off the clock, he loves spending time with his four (teenager!) kids, disc golf, reading, writing, drawing, and working on his collection of cars, which is larger than it should be.
