


Processing Actionable Data in Genomics
BIOL-40327
Experience bioinformatics approaches to processing genomic data and distilling consequential biomedical information. Genomic sequencing technologies deliver massive volumes of data that require dedicated handling methods and diverse abilities for troubleshooting. This hands-on course focuses on UNIX-based analysis tasks commonly employed in the field. Instruction covers general considerations ranging from experiment configuration, data QC, and software systems, to tuning of algorithms and visualization of results. In addition, assigned work with public datasets will provide students with weekly hands-on experience with several widely used techniques, including read mapping, variant calling, annotation, and pipeline construction. Class sessions consist of video lectures covering slides, some assigned reading, quizzes, and directed forum participation. Mandatory data processing homework is a significant part of this class.
By the end of the course, you will be able to:
- Compare the utility of different types of sequencing experiments
- Structure bioinformatic pipelines to fit the experiment
- Implement steps in bioinformatic processing
- Critique genomic processing results
For more information on this course, please contact: appliedscience@ucsd.edu
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: 1/19/2026
Schedule:
Instructor:
Genaro Pimienta

After obtaining a PhD degree in structural biology (EMBL-Heidelberg, Germany), Genaro pursued post-doctoral training in proteomics and transcriptomics (Hopkins University and Yale University). Heralding the value of computational biology, Dr. Pimienta has, for the past 20 years, explored various ways of combining proteomics, transcriptomics and genomics data, to answer biomedical questions.
In his spare time, Genaro finds piece spending time with his family, gardening, or reading and writing fiction. A most recent joy of his, is to (pen in hand) spot the predictions of a world welded by artificial intelligence technologies, made by science fiction writers of last century, like Isaac Asimov, Phillip K. Dick, and William Gibson.
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: 3/30/2026