Systems, Computational, and Quantitative Biology Courses
View all courses of the Morningside Graduate School of Biomedical Sciences
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Preparation for Qualifying Exam | BBS 602
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
This course will help prospective scientists in the biological and medical sciences communicate their work effectively, in writing, graphics, and oral presentations. The course teaches how to prepare a research paper using words, statistics, and figures; how to present science to a lay audience; how to write a grant proposal; and how to present orally to scientific peers.
Credits: 2
Prerequisite(s): None
Fulfills an elective requirement: No
Course Directors: Jill Zitzewitz, Daryl Bosco, and Nese Kurt Yilmaz
Semester Offered: Fall
Last Taught: Fall 2024
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Scientific Inquiry in Biomedical Research | BBS 614
Programs: Biochemistry & Molecular Biotechnology, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
This problem-based course provides learning opportunities through exploration of multidisciplinary areas of contemporary biomedical research, and creates a forum for practice in the skills required for research.
Credits: 6
Prerequisite(s): Matriculation in the PhD Program
Fulfills an elective requirement: No
Course Directors: Jill Zitzewitz, Neal Silverman, Elizabeth Shank
Semester Offered: Fall
Last Taught: Fall 2024
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Methods in Computational and Systems Biology | BBS 706
Programs: Biophysical, Chemical, and Computational Biology Pathway, Systems, Computational, and Quantitative Biology
Lecture and textbook based course on statistical modeling and machine learning, with exercises on analyzing real data.
Credits: 2
Prerequisite(s): BBS 614 or BBS 748 (non-degree students) or course equivalent and basic proficiency with R, or approval of instructor
Fulfills an elective requirement: Yes
Course Director: Manuel Garber
Semester Offered: Fall, odd years
Last Taught: Fall 2021
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Experiential PhD: Professional Development for Internship | BBS 707
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
In this professional development course, students will explore how relevant practical experiences enhance classroom learning and research, and how scholarly work enhances their practical training. This course will provide Morningside Graduate School of Biomedical Sciences students opportunities to connect theory and practice through experiential learning in a professional work environment. Students will examine, articulate, and defend their professional values and use concurrent reflection exercises to create “maps” and action steps to reach multiple long-term professional goals. We will focus on the value of continuous learning through reflective practice, mentorship, professional organizations and conferences, and leadership opportunities in the field. During this course, students will develop their professional identity and commit to lifelong learning. Students are required to take this course before going out on internship and must receive additional permissions from their advisors and TRAC approval for internship placement. This process ensures that the chosen internships align with the student's academic and career goals and confirms that they are prepared for the experience.
Credits: 1
Prerequisite(s): Approval of TRAC
Fulfills an elective requirement: No
Course Director: Lisa Tison-Thomas
Semester Offered: Fall, Spring, Summer
Last Taught: New course
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Machine Learning and Applications in Genomics | BBS 741
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Systems, Computational, and Quantitative Biology
This course covers several important areas of modern bioinformatics and computational biology. The course is aimed not only at students specializing in bioinformatics, but also general biology students who would like to utilize bioinformatics tools in their daily research. The course will begin with an overview of modern sources of bioinformatics data, especially high-throughput sequencing data (RNA-seq, ChIP-seq, DNase-seq, ATAC-seq, Whole genome bisulfite sequencing, etc.), followed by a thorough presentation of an extensive set of statistical learning and machine learning algorithms and their application to analyzing biological data. The course will include 10 lectures each with a homework set, followed by individual or group projects, presented in lieu of the final exam.
Credits: 2
Prerequisite(s): Familiarity with at least one programming language (e.g. Python, MatLab, R, etc.)
Fulfills an elective requirement: Yes
Course Director: Zhiping Weng
Semester Offered: Fall, Even Years
Last Taught: Fall 2024
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Systems and Computational Biology | BBS 764
Programs: Biophysical, Chemical, and Computational Biology Pathway, Interdisciplinary, Systems, Computational, and Quantitative Biology
This course examines topics across four short modules within the broader scope of systems biology. These modules are Gene Regulation, Network Biology, Genome Organization, and Mathematical and Quantitative Methods. In addition, this course has a hands-on component that teaches programming in Python to analyze data and generate insights through computational approaches. No prior knowledge of computation is assumed, and beginners are encouraged to enroll.
Credits: 3
Prerequisite(s): BBS 614 or BBS 748 (non-degree students) or course equivalent or coordinator's approval.
Fulfills an elective requirement: Yes
Course Director: Hyun Youk, Manuel Garber
Semester Offered: Spring
Last Taught: Spring 2024
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Research Rotation | BBS 850
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
Research rotations are defined periods of research experience under the direction of a faculty member. They are intended to familiarize the student with concepts and techniques in several areas of research and to assist the student in evaluating research laboratories and projects that might be developed into a dissertation project. The student will participate in an ongoing research project; gain familiarity with concepts underlying the research; acquire a working knowledge of techniques used in the research; and write a report and present an oral summary of the results of the research.
In the summer term, only MD/PhD students may register.
Credits: 2-5
Fulfills an elective requirement: No
Course Director: Varies
Semester Offered: Fall, Spring, Summer
Last Taught: Taught every Fall, Spring, and Summer
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Summer Research - Year One | BBS 851
Programs: Biochemistry & Molecular Biotechnology, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
Summer Research – Year 1 is for first year BBS students. Expectations are for students to (1) formulate initial hypotheses and/or goals, (2) design and begin to execute research plans, (3) Critically read and evaluate relevant literature.
Credits: 6
Fulfills an elective requirement: No
Course Director: Varies
Semester Offered: Summer
Last Taught: Taught every Summer
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BBS Qualifying Exam | BBS 860
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
Students are required to register for this course in the fall semester of the academic year in which they are to pass their Qualifying Examination.
Credits: 1
Fulfills an elective requirement: No
Course Director: Mary Ellen Lane
Semester Offered: Fall
Last Taught: Taught every year
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BBS TRAC Meeting | BBS 865
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
All graduate students are required to have at least one Thesis Research Advisory Committee (TRAC) meeting each academic year. After passing their Qualifying Examination and selection of their TRAC, students are required to register for this course each fall semester until their Dissertation Advisory Committee is formed.
MD/PhD Goals: 1) To periodically review progress along thesis research project advised by content experts 2) To provide guidance for establishing a thesis research project consistent with the MD/PhD Program goals
MD/PhD Curricular Expectations: Two Thesis Research Advisory Committee (TRAC) meeting each academic year as define by the Professionalism Benchmark Checklist
Credits: 1
Fulfills an elective requirement: No
Course Director: Mary Ellen Lane
Semester Offered: Fall
Last Taught: Taught every year
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Prequalifying Research | BBS 870
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
This course is for students who have selected a program and thesis advisor but who have not yet passed the Qualifying Examination.
Credits: 9
Fulfills an elective requirement: No
Course Director: Student's thesis advisor
Semester Offered: Fall, Spring, Summer
Last Taught: Taught every semester
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Thesis Research | BBS 900
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
Students register for Thesis Research fall term of year three of the program (MD/PhD Students: Fall term of year four in the program), after passing the Qualifying Exam.
Credits: 12
Fulfills an elective requirement: No
Course Director: Student's thesis advisor
Semester Offered: Fall, Spring, Summer
Last Taught: Taught every semester
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Graduate Research | BBS 990
Programs: Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Systems, Computational, and Quantitative Biology, Translational Science
Students register for Graduate Research fall term of year four (MD/PhD Students: Fall term of year five+) in the PhD Program and will continue to register each semester until they complete all remaining requirements.
Credits: 0
Fulfills an elective requirement: No
Course Director: Student's thesis advisor
Semester Offered: Fall, Spring, Summer
Last Taught: Taught every semester
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Responsible Conduct of Research, Part 1 | GSB 601
Programs: Basic Biomedical Sciences Core Course, Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Population Health Sciences, Systems, Computational, and Quantitative Biology, Translational Science
This course provides students opportunities to recognize and solve ethical problems in the responsible conduct of research. Major NIH required topics include those relevant for graduate students at this stage of training.
Credits: 0.5
Fulfills an elective requirement: No
Course Director: Anthony Imbalzano and Kate Lapane
Semester Offered: Fall
Last Taught: Fall 2024
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Responsible Conduct of Research, Part 2 | GSB 602
Programs: Basic Biomedical Sciences Core Course, Biochemistry & Molecular Biotechnology, Biophysical, Chemical, and Computational Biology Pathway, Cancer Biology, Immunology & Microbiology, Interdisciplinary, Neuroscience, Population Health Sciences, Systems, Computational, and Quantitative Biology, Translational Science
This course provides students opportunities to recognize and solve ethical problems in the responsible conduct of research. Major NIH required topics include those relevant for graduate students at this stage of training.
Credits: 1
Fulfills an elective requirement: No
Course Director: Anthony Imbalzano and Kate Lapane
Semester Offered: Fall
Last Taught: Fall 2024