Data Recovery

It appears you may have used Coursicle on this device and then cleared your cookies. You can recover your data by answering these questions.

User ID:

Your account no longer exists

Your user ID no longer exists. Please refresh the page. If the issue persists, please contact us at


HGG 660 - Bioinformatics Theory and Practice

In this course, we will focus on application of high throughput genomic technologies in a variety of biological contexts. The expectation would be to achieve the following course learning objectives: 1) Gain familiarity with the technologies and techniques available for high throughput genomic studies; 2) Understand the data outputs and how to store/manipulate/analyze/interpret results; 3) Work with high performance computing in the area of genomic analysis; 4) Become aware and be able to use tools for genomic data storage, annotation, and curation; 5) Critically plan and perform quality control of analysis pipelines and results; 6) Share results of genomic data through communication and visualization techniques. Prerequisites: Familiarity with basic genetics, genome structure, and the methods and approaches of molecular biology are necessary. Please ask for primers on these topics if you do not have a Biology background. In addition, basic knowledge in the Unix environment and basic operations is required. Materials will be distributed in the first week of class to address.
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Spring 2021, Spring 2020, Spring 2019, Spring 2018
Avg. Class Size
Avg. Sections