Systems Biology and Bioinformatics Tracks

Closeup of microscope eyepieces.

Case Western Reserve University's (CWRU) graduate program in Systems Biology and Bioinformatics (SYBB) has two tracks:

Translational Bioinformatics

The SYBB track in Translational Bioinformatics poises students to work at the interface of applied ‘omics research and clinical medicine. From integrating genomic and functional genomic data into electronic medical records, to developing meta-analysis tools for communicating genomic risk to patients to utilizing this data in personalized medicine. Students trained in the Translational Bioinformatics track work to integrate bioinformatics tools and technologies into clinical workflows. Graduates of this training track will find ample opportunities within industry and, as genomics enters the clinical arena, within hospitals, as well.

Molecular and Computational Biology

The SYBB track in Molecular and Computational Biology embraces the pursuit of basic science research, employing the application and development of computational approaches to address difficult questions derived from today’s “Big data” derived from ‘omics approaches. This track equips students in the acquisition of experimental data utilizing approaches including proteomics, metabolomics, genomics and structural biology and extends this work with interpretation provided by computational analysis. Graduates of this training track will find ample opportunities within the pharmaceutical industry, contract research organizations as well as more traditional academic career paths.

Students can choose either track for both the MS and PhD programs.

Required Core Courses

  • SYBB 501 Biomedical Informatics and Systems Biology Journal Club*
  • SYBB 412 Survey of Bioinformatics: Programming for Bioinformatics
  • SYBB 459 Bioinformatics for Systems Biology
  • SYBB 555 Current Proteomics

*Registration each semester in SYBB 501 is required for all students in the SYBB graduate program.

Elective Courses

Genes and Proteins Courses

Course Number Course Description Credits
PQHS/GENE/MPHP 451
CLBY 555/BIOC 555/PATH 555
Principles of Genetic Epidemiology 3
PHOL/CHEM/PHRM/BIOC/NEUR 475 Protein Biophysics 3
PHOL 456 Conversations on Protein Structure and Function 2
PHOL 480 Physiology of Organ Systems 4
CBIO 453 Cell Biology I 4
CBIO 455 Molecular Biology I 4
BIOC 420 Current Topics in Cancer 3
BIOC 528 Contemporary Approaches to Drug Discovery 3
BETH 412 Ethical Issues in Genetics/Genomics 3

 

Bioinformatics and Computational Biology Courses

Course Number Course Description Credits
PQHS 415 Statistical Computing and Data Analytics 3
BIOL/EECS 419 Applied Probability and Stochastic Processes for Biology 3
PHRM/PHOL/CHEM/BIOC 430 Advanced Methods in Structural Biology 1-6
EECS 458 Introduction to Bioinformatics 3
NEUR 478/BIOL 378/COGS
MATH 378/BIOL 478/EBME 478
Computational Neuroscience 3
GENE 508 Bioinformatics and Computational Genomics 3
BIOC 430 Advanced Methods in Structural Biology 1-6

 

Quantitative Analysis and Modeling

Course Number Course Description Credits
PQHS 431 Statistical Methods I 3
PQHS 432 Statistical Methods II 3
PQHS 480 Introduction to Statistical Theory 3
PQHS 481 Theoretical Statistics I 3
PQHS 482 Theoretical Statistics II 3
PQHS 460 Introduction to Health Services Research 3
PQHS 515 Secondary Analysis of Large Health Care Data Bases 3
MPHP 405 Statistical Methods in Public Health 3
EECS 435 Data Mining 3
EECS 440 Machine Learning 3
MATH 441 Mathematical Modeling 3
EBME 300/MATH 449 Dynamics of Biological Systems: A Quantitative Introduction to Biology 3
MIDS 301 Introduction to Information: A Systems and Design Approach 3

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