Introduction to Database for Bioinformatics BINF 6211/8211

The fundamentals of database modeling as used in bioinformatics. By the end of the course, students should be able to: understand different types of data models, know how hierarchical and relational models work and give examples that are widely used for biological databases, understand the capabilities of a standard, open source RDBMS, understand the tasks required for data integration and how to use SQL as a research tool. Introduction to ML, XML Schema, and BioOntologies as widely used data exchange and organization tools in bioinformatics databases.

Taught in:
  • Spring 2017 - 12 MS, 1 PhD students
  • Spring 2018 - 5 MS Students
  • Spring 2019 - 18 MS, 3 BS students
Skills:
  • PostgreSQL
  • Schema Design
  • Functional Dependencies
  • Shell scripting / ETL

Applied Data Mining for Bioinformatics BINF 4211

Concepts and techniques of evaluating bioinformatics data. The objective of this course is to provide students with a working knowledge of data sources, current tools and methodologies used for bioinformatics research though a variety of hands-on data analysis activities.

Will be taught in:
  • Spring 2020
Skills:
  • Python
  • R
  • Jupyter Notebooks