Fall Term
Research
(BCMB 6097; Credit Hours Vary)
Genomics, Proteomics and Bioinformatics
(BCMB 6208; 2 Credit Hours)
Lecturers will select seminal recent papers on principles and novel techniques used in the interpretation of genomic sequencing data, RNA-seq analysis, and data mining of structural and functional databases of genes and proteins. Each student is requested to read all papers during the course, and present one paper with additional background information in a 45-minute lecture. The faculty will give introductory lecturers to the topics of the course with an emphasis on Genomics and Bioinformatics. They will also provide additional advice on the context of the papers in the literature, and will complement the student presentation with comments from his expertise on particular techniques. The student presentations of the papers will include discussions among students and faculty on the scientific background of the papers.
- Instructors: Braun, Routh, Widen
- Term Offered: Fall
- Year Offered: Annually
- Hours per week: 2, 16-week course
Electives (add) 6 additional credit hours prior to graduation
Spring Term
Research
(BCMB 6097; Credit Hours Vary)
Seminar
(BCMB 6195; 1 Credit Hour)
Students must register for the Seminar course (BMB 6195) in years 2, 3 and 4 (three consecutive years after they enter into the BMB graduate program). Each student will attend student seminars
regularly and, in addition, each student will present one seminar per year in their third and fourth years.
- Instructor: TBA
- Term Offered: II
- Year Offered: Annually
- Hours per week:1
Biomolecular Dynamics
(BCMB 6115; 1 Credit Hours)
In this 1-credit hour course, students will learn about experimental research on structural dynamics of biomacromolecules. Structural dynamics of various systems such as enzymes, molecular motors, cell surface receptors, chromatin / chromosome, ribosome, and viral particles will be discussed. Covered methods include nuclear magnetic resonance (NMR), crystallography, cryo-electron microscopy, fluorescence imaging, and single-molecule techniques. The primary focus will be on applications rather than on the principles of the methodologies. Students will read highly influential papers on structural dynamics of macromolecules, which are selected by the instructors. Each instructor gives two sessions: in one session, the instructor gives an introductory lecture on methods highly relevant to the papers selected for discussion; in the following session, the instructor leads discussion while the students present the papers.
- Instructors: Gagnon, Iwahara, Nir, Oberhauser, Rajarathnam, Smith
- Term Offered: Spring
- Year Offered: Annually (only with 3 or more enrollees)
- Hours per week: 1.5, 16-week course
Probabilistic and Statistical Methods in Bioinformatics
(BCMB 6240; 2 Credit Hours)
Biomedical research is rapidly becoming data-intensive and researchers generate and use increasingly large, complex, multidimensional, and diverse datasets. The data sets are often structured, but with non-trivial structure inconsistent with classical experimental designs. The ability to access, process, analyze, understand, extract value from and disseminate data is becoming critical. Multiple skills are required for these purposes. In this course, we will concentrate on some of the key probabilistic, statistical concepts and machine learning techniques actively used in modern biomedical data analysis. Examples of data processing will be provided from proteomics experiments and standard databases available in R. The grading is based on class participation, homework assignments, midterm and final exams.
- Instructor: Sadygov
- Term Offered: Spring
- Year Offered: Annually
- Hours per week: 2, 16-week course
Seminar
(BCMB 6196; 1 Credit Hour)
Current Concepts in Biochemistry & Molecular Biology (Faculty Seminars), 6 credits required for all students.
Qualifying Examination
See our definition and guidelines of the qualifying examination.
Summer Term
Research/Dissertation
(BCMB 6097/6099; Credit Hours Vary)
Electives (add) 6 additional credit hours prior to graduation