PhD in Systems Biology and Bioinformatics (SYBB)

Overview and Requirements

The Systems Biology and Bioinformatics program differs from current 星空传媒 programs in the comprehensive requirement for an understanding of biological systems, bioinformatics, and quantitative analysis & modeling. The program includes a minimal set of required courses including Biomedical Informatics and Systems Biology Journal Club and a course in the Responsible Conduct of research ( On Being a Professional Scientist: The Responsible Conduct of Research). Additional required courses for the Translational Bioinformatics and Molecular and Computational Biology tracks are Bioinformatics for Systems Biology and Current Proteomics.  At least six additional courses will be required based upon individualized student interests. Other requirements include a qualifier exam, a PhD Dissertation, and oral defense. The PhD requires at least 54 credits: 24 graded credits, 12 pre-dissertation research credits, and at least 18 dissertation research credits.  Admissions to this program may be obtained through the integrated Biomedical Sciences Training Program, by direct admission to the department in rare cases or via the Medical Scientist Training Program.

Please visit the for the University's full requirements for doctoral degrees.

Tracks

星空传媒's (星空传媒) 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 鈥榦mics 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鈥檚 鈥淏ig data鈥 derived from 鈥榦mics 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 one of the two tracks for the PhD program.

Program Competencies

The specific academic requirements of the SYBB Program are intended to provide students with a required core curriculum in Systems Biology and a set of electives designed both to assure minimum competencies in Fundamental Core Competencies and equip them for their particular thesis research discipline. Each trainee will be guided in their customized course of study by a mentoring committee to ensure the completion of training in the program competencies as well as maintenance of a focus on molecular systems theory. These competencies include:

  • Evaluation of the scientific discovery process and of the role of bioinformatics in it in detail, including data generation steps and understanding the biology.
  • Application of computational and statistical methods appropriate to solve a given scientific problem
  • Construction of software systems of varying complexity based on design and development principles.
  • Effective teamwork to accomplish a common scientific goal.
  • Building knowledge in local and global impact of bioinformatics and systems biology on individuals, organizations, and society.
  • Effective communication of bioinformatics and systems biology problems to a range of audiences, including, but not limited to, other bioinformatics professionals.

Sample Plan of Study for the PhD: Translational Bioinformatics Track

Year 1 Fall Units Spring Units
SYBB 501: Biomedical Informatics and Systems Biology Journal Club 0  
SYBB 411: Technologies in Bioinformatics 3  
CBIO 453: Cell Biology I 3  
CBIO 455: Molecular Biology I 3  
SYBB 601: Systems Biology and Bioinformatics Research 1-9  
SYBB 412: Survey of Bioinformatics: Programming for Bioinformatics   3
SYBB 555: Current Proteomics and Bioinformatics   3
SYBB 459: Bioinformatics for Systems Biology   3
BIOL 434: Structural Biology   3
SYBB 601: Systems Biology and Bioinformatics Research   1-9
SYBB 501: Biomedical Informatics and Systems Biology Journal Club   0
IBMS 500: On Being a Professional Scientist: The Responsible Conduct of Research 0 1
Semester Totals: 10-18 14-22

 

Year 2 Fall Units Spring Units
SYBB 528: Contemporary Approaches to Drug Discovery 3  
SYBB 421: Fundamentals of Clinical Information Systems 3  
PQHS 431: Statistical Methods I 3  
SYBB 501: Biomedical Informatics and Systems Biology Journal Club 0  
SYBB 472: BioDesign   3
PQHS 431: Statistical Methods II   3
SYBB 601: Systems Biology and Bioinformatics Research   3
SYBB 501: Biomedical Informatics and Systems Biology Journal Club   0
Semester Totals: 9

9

 

Year 3 Fall Units Spring Units
SYBB 701: Dissertation PhD 3  
SYBB 701: Dissertation PhD   3
Semester Totals: 3 3

 

Year 4 Fall Units Spring Units
SYBB 701: Dissertation PhD 3  
SYBB 701: Dissertation PhD   3
Semester Totals: 3 3

 

Year 5 Fall Units Spring Units
SYBB 701: Dissertation PhD 3  
SYBB 701: Dissertation PhD   3
Semester Totals: 3 3

Total Units in Sequence: 60-76

*Note: MSTP students would take MSTP 400 for research rotations.

Elective Courses

Genes and Proteins

Protein Biophysics 3
Conversations on Protein Structure and Function 2
Physiology of Organ Systems 4
Cell Biology I 3
Molecular Biology I 3
Nutritional Biochemistry and Metabolism 3
Molecular Biology of RNA 3
Proteins and Enzymes 3
Current Topics in Cancer 3
Biochemistry and Biology of RNA 3
Contemporary Approaches to Drug Discovery 3
Ethical Issues in Genetics/Genomics 3

Bioinformatics and Computational Biology

Applied Probability and Stochastic Processes for Biology 3
A Data-Driven Introduction to Genomics and Human Health 3
Introduction to Bioinformatics 3
Computational Neuroscience 3
Technologies in Bioinformatics 3
Survey of Bioinformatics: Programming for Bioinformatics 3
Bioinformatics for Systems Biology 3
BioDesign 3

Quantitative Analysis and Modeling

Statistical Methods in Public Health 3
Statistical Methods I 3
Statistical Methods II 3
Data Mining 3
Secondary Analysis of Large Health Care Data Bases 3
Introduction to Mathematical Statistics 3
Machine Learning 3
Mathematical Modeling 3
Dynamics of Biological Systems: A Quantitative Introduction to Biology 3
Introduction to Information: A Systems and Design Approach 3
Current Issues in Genetic Epidemiology: Design and Analysis of Sequencing Studies 3
A Data-Driven Introduction to Genomics and Human Health 3
Statistical Methods for Genetic Epidemiology 3
Categorical Data Analysis 3
Longitudinal Data Analysis 3

For More Information

  • Cheryl Cameron, PhD, Program Director
  • BRB 9th Floor, School of Medicine
  • sybb@case.edu