SYBB 411

Technologies, Data Integration, and Translational Approaches in Bioinformatics

SYBB 411: Technologies, Data Integration, and Translational Approaches in Bioinformatics is a comprehensive course offered this fall at Case Western Reserve University. Developed by Dr. Gürkan Bebek, this course provides an in-depth exploration of the technologies and methods used in bioinformatics research.

Course Overview

SYBB 411 is a 3-credit course designed to introduce students to high-throughput technologies and their applications in various fields such as genomics, proteomics, clinical informatics, imaging, and metagenomics. The course emphasizes practical, hands-on learning experiences with bioinformatics tools and algorithms.

Instructor Information

  • Instructor: Gürkan Bebek, Ph.D., M.S.
  • Office: 10900 Euclid Ave. BRB 921, Cleveland, OH 44106-4988
  • Phone: (216) 368-4541
  • Email: gurkan.bebek@case.edu

Key Learning Objectives

  • Technologies & Data in Bioinformatics: Understand the high-throughput technologies that generate data for bioinformatics research.
  • Bioinformatics Tools & Models: Learn to identify and use appropriate tools and algorithms for data analysis.
  • Data Interpretation: Develop skills to summarize and represent datasets using bioinformatics tools.
  • Current Applications: Stay updated with the latest applications of bioinformatics in biomedical sciences.

Course Structure

Classes are held on Tuesdays and Thursdays from 2:30 to 3:45 PM, (Fall Term). The course includes lectures, in-class exercises, homework assignments, group presentations, and a class project.

Required Materials

Students will need access to the online textbook “Translational Bioinformatics” available for free on PLoS Computational Biology. Additionally, an iClicker+ pad is required for in-class activities.

Grading Breakdown

  • Homework: 20%
  • Midterm Paper: 15%
  • Research Presentation: 10%
  • Presentation Report: 15%
  • In-class Participation: 10%
  • Final Exam: 30%

Course Highlights

Throughout the semester, students will explore a variety of topics including:

  • Genomics: Genomic data analysis, next-generation sequencing, single-cell sequencing.
  • Proteomics: Fundamentals of mass spectrometry and protein identification.
  • Metagenomics: Microbiome analysis and metagenome sequencing.
  • Pharmacogenomics: Relationship between genetics and drug response.
  • Clinical Informatics: Integration of clinical data with bioinformatics tools.
  • Network Biology: Construction and interpretation of biological networks.

Why Enroll in SYBB 411?

This course is ideal for students interested in the intersection of biology, technology, and data science. It provides a solid foundation and practical skills that are highly valued in today’s data-driven world. Whether you’re aiming for a career in bioinformatics or biomedical research, SYBB 411 offers valuable insights and hands-on experience.

For more information, please request the full syllabus via email (available to CWRU students only).